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Peramalan Permintaan Dan Optimasi Persediaan BBM Menggunakan Metode Moving Average Dan Goal Programming Nduru, Piky Pratama; Kholijah, Gusmi
JISTech (Journal of Islamic Science and Technology) Vol 10, No 1 (2025)
Publisher : UIN Sumatera Utara Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/jistech.v10i1.23346

Abstract

Permintaan bahan bakar minyak (BBM) di PT Pertamina EP Asset-1 Field Jambi yang berfluktuasi dapat menimbulkan risiko kekurangan atau kelebihan stok, sehingga berdampak pada peningkatan biaya operasional dan gangguan distribusi. Penelitian ini bertujuan untuk meramalkan permintaan BBM jenis solar menggunakan metode Moving Average orde 3 serta mengoptimalkan persediaannya melalui pendekatan Goal Programming. Data historis permintaan BBM tahun 2023 dari tiga lokasi penyimpanan, yaitu Kenali Asam, Bajubang, dan Tempino, digunakan sebagai dasar analisis. Akurasi hasil peramalan dievaluasi menggunakan Mean Absolute Percentage Error (MAPE), yang menunjukkan tingkat akurasi baik di Kenali Asam (18%) serta cukup layak di Bajubang (32%) dan Tempino (35%). Model Goal Programming kemudian disusun untuk memaksimalkan ketersediaan stok dan meminimalkan deviasi negatif dari target permintaan, dengan penyelesaian menggunakan Excel Solver. Hasil penelitian ini membuktikan bahwa penerapan metode peramalan yang terintegrasi dengan optimasi persediaan dapat membantu perusahaan meningkatkan efisiensi pengelolaan BBM dan mendukung pengambilan keputusan yang lebih tepat.
Penerapan Algoritma Sollin Dalam Menentukan Minimum Spanning Tree Pada Jaringan Pipa Air Bersih Di Kota Jambi Abdillah, M Hafiz; Kholijah, Gusmi
JISTech (Journal of Islamic Science and Technology) Vol 10, No 2 (2025)
Publisher : UIN Sumatera Utara Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/jistech.v10i2.26761

Abstract

Penelitian ini bertujuan untuk menentukan struktur jaringan pipa yang efisien pada Perumahan Bougenville, Kota Jambi, melalui penerapan Algoritma Sollin dalam pembentukan Minimum Spanning Tree (MST). Penelitian dilaksanakan pada tahun 2025 menggunakan data peta jaringan pipa tersier Perumda Air Minum Tirta Mayang Kota Jambi. Metode penelitian meliputi pengumpulan data panjang pipa antar simpul, pembentukan graf berbobot yang merepresentasikan jaringan distribusi air, serta penerapan langkah-langkah Algoritma Sollin untuk memperoleh total bobot minimum tanpa membentuk siklus. Algoritma Sollin diaplikasikan melalui tiga tahapan iteratif: (1) inisialisasi setiap simpul sebagai komponen terpisah, (2) pemilihan sisi dengan bobot minimum dari setiap komponen yang menghubungkan ke komponen lain, dan (3) penggabungan komponen-komponen tersebut hingga terbentuk satu pohon rentang minimum yang menghubungkan seluruh simpul. Hasil penelitian menunjukkan bahwa total panjang jaringan pipa awal sebesar 3.184,3 meter dapat dioptimalkan menjadi 1.852 meter setelah proses penerapan algoritma, dengan MST final terdiri dari 20 sisi yang menghubungkan 21 simpul pada jaringan distribusi. Pengurangan panjang jaringan sebesar 1.332,3 meter menunjukkan efisiensi yang signifikan dalam penggunaan material pipa dan potensi penurunan biaya pembangunan serta pemeliharaan sistem distribusi air. Kesimpulan dari penelitian ini adalah bahwa penerapan Algoritma Sollin mampu menghasilkan rancangan jaringan pipa yang optimal, bebas dari siklus, dan memiliki total panjang minimum sebesar 1.852 meter, sehingga meningkatkan efektivitas serta efisiensi distribusi air bersih pada wilayah studi
Analisis Structural Equation Modeling Partial Least Square pada Kinerja Pegawai PT. Bank Pembangunan Daerah Jambi Siti Nurhalizah; Gusmi Kholijah; Z Gusmanely
Indonesian Journal of Applied Statistics Vol 6, No 2 (2023)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/ijas.v6i2.78921

Abstract

Human resource management is required to be able to continue to develop themselves in order to have high performance and be able to excel at work. The value of employee performance is important which causes the company to require employee performance to be improved. The object of research conducted at the Head Office of Bank Jambi found that there are employees who have not been able to complete the assigned tasks effectively and efficiently. The purpose of this study was to analyze the direct and indirect effects of competency variables and work discipline on employee performance variables with work motivation variables as intervening variables at Bank Jambi. Based on these problems, the results of the analysis and discussion using SEM-PLS are (1) competence and work discipline have a positive and significant effect on work motivation at Bank Jambi. Work motivation can be explained by competence and work discipline by 65.7% and 34.3% is explained by other variables outside those studied, (2) competence, work discipline, and work motivation have a direct positive and significant effect on the performance of Bank Jambi employees. Employee performance can be explained by competence, work discipline, and work motivation by 72.1% and 27.9% explained by other variables outside the study, and (3) competence and work discipline have a positive and significant indirect effect on employee performance with work motivation as an intervening variable.Keywords: Human resources; competence; work discipline; work motivation; employee performance
Pembentukkan Tabel Morbiditas Penyakit Kronis Berdasarkan Angka Prevalensi Khairul Alim; Gusmi Kholijah; Meinarisa Meinarisa
Limits: Journal of Mathematics and Its Applications Vol. 22 No. 1 (2025): Limits: Journal of Mathematics and Its Applications Volume 22 Nomor 1 Edisi Ma
Publisher : Pusat Publikasi Ilmiah LPPM Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/limits.v22i1.3377

Abstract

A morbidity table is an important mathematical tool in health sciences and actuarial studies, providing an overview of disease rates in a population at a given time. This table offers information on the number of disease cases by age group, type of disease, or geographical region. The values from morbidity tables are used to compare disease rates between populations, evaluate the effectiveness of health programs, and predict future healthcare service needs. In the world of health insurance, morbidity tables play a crucial role in premium pricing calculations. By using specific morbidity tables, insurance providers can set premium prices that align with the conditions of the population being covered, preventing company losses due to premiums being set too low, while also ensuring that people do not feel burdened by excessively high premiums. Despite their importance, creating morbidity tables requires extensive research and large amounts of data. In Indonesia, accurately constructing morbidity tables is challenging due to its vast geographical diversity. Therefore, this study will use the prevalence rate of chronic diseases as an alternative. Prevalence rate is a statistical measure that describes the proportion of individuals in a population suffering from a specific disease at a given time. This approach simplifies data collection, especially since the government regularly releases prevalence data for certain diseases.