Articles
<![CDATA[MONTE CARLO SIMULATION IN ESTIMATING CLEAN WATER SUPPLIES ]]>
<![CDATA[Fajari Husnul Walid]]>;
<![CDATA[Sajaratud Dur]]>;
<![CDATA[Rima Aprilia]]>
<![CDATA[ Journal of Mathematics and Scientific Computing With Applications Vol. 1 No. 1 (2020) ]]>
Publisher : <![CDATA[Pena Cendekia Insani ]]>
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<![CDATA[Estimates are important tools in effective and efficient planning for predictingfuture events. Identical estimates of the future values of a variable for planningor decision making of a situation to estimate future values. Monte Carlosimulation is a simulation model that involves a series of random and samplingwith a probability distribution that can be known and determined, then thissimulation can be used. In this study, data is taken from the amount of waterusage in PDAM Tirtanadi H.M branch. Yamin, North Sumatra from January2018 to June 2019. Then, the data is processed and analyzed using MonteCarlo Simulation to determine the forecast results in the years that follow. Theresult is an estimated amount of water usage in 2019 and 2020 at PDAMTirtanadi H.M branch. Yamin, North Sumatra is 8,604,556 and 8,592,873. The estimated amount of water use is down from the amount of water use in2018 which reached 8,685,356. The amo]]>
<![CDATA[Faktor Penyebab Penyakit Diabetes Melitus dengan Metode Regresi Logistik ]]>
<![CDATA[Nurul Khoiriah Hasibuan]]>;
<![CDATA[Sajaratud Dur]]>;
<![CDATA[Ismail Husein]]>
<![CDATA[ G-Tech: Jurnal Teknologi Terapan Vol 6 No 2 (2022): G-Tech, Vol. 6 No. 2 Oktober 2022 ]]>
Publisher : <![CDATA[Universitas Islam Raden Rahmat, Malang ]]>
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DOI: 10.33379/gtech.v6i2.1696
<![CDATA[Diabetes melitus adalah salah satu jenis penyakit yang tidak menular namun salah satu penyakit tertinggi di Indonesia. Indonesia menduduki peringkat ke empat dengan pasien diabetes melitus terbanyak. Tujuan dari penelitian ini adalah agar mengetahui faktor atau variabel mana yang berpengaruh signifikan terhadap diabetes melitus. Metode yang digunakan adalah regresi logistik, regresi logistik ialah suatu metode analisis statistika bertujuan untuk menggambarkan hubungan variabel dependen yang mempunyai dua/lebih kategori atau jenis dengan satu atau lebih variabel independen. Hasil penelitian ini diperoleh variabel olahraga mempunyai nilai signifikan sebesar 0,035. Variabel umur sebesar 0,030, variabel obesitas 0,669. Dan variabel hipertensi sebesar 0,035 serta variabel kolesterol sebesar 0,142. Sehingga dapat disimpulkan faktor penyebab diabetes melitus yang berpengaruh signifikan adalah umur, olahraga dan hipertensi, yang tidak berpengaruh signifikan adalah obesitas dan kolesterol. Probabilitas pasien terkena diabetes melitus adalah sebesar 0,997.]]>
<![CDATA[Analisa Kandungan Mineral, Lemak dan Protein pada Sampel Ikan Kembung Rebus Asin ]]>
<![CDATA[Leni Widiarti]]>;
<![CDATA[Sajaratud Dur]]>
<![CDATA[ KLOROFIL: Jurnal Ilmu Biologi dan Terapan Vol 6, No 1 (2022): KLOROFIL : JURNAL ILMU BIOLOGI DAN TERAPAN ]]>
Publisher : <![CDATA[Program Studi Biologi Fakultas Sains dan Teknologi Universitas Islam Negeri Sumatera Utara ]]>
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DOI: 10.30821/kfl:jibt.v6i1.12407
<![CDATA[Research has been carried out to analyze the content of minerals, fat and protein in salted boiled pufferfish samples. Samples were purchased from a traditional market in Medan City, Indonesia. The method used is the 2005 AOAC method. Crude protein analysis was carried out by the Kjeldhal method, crude fat analysis was carried out by the Soxhlet extraction method, water content analysis was carried out by the drying method, ash content analysis was carried out by the combustion method at high temperature, and mineral analysis was carried out by using an Atomic Absorption Spectrophotometer (AAS). The results of the analysis of the salted mackerel sample obtained crude protein content of 65.9770 %, this indicates that the salted boiled mackerel sample has a high protein content. Crude fat content from the analysis is 16.7600 %. The water content and ash content of the boiled mackerel samples were 9.5077% and 6.2700%, respectively. Mineral analysis, namely the levels of calcium and sodium obtained respectively 0.7635 ppm and 0.7571 ppm.]]>
<![CDATA[Forecasting of jansen's rice inventory control using monte carlo and markov chain techniques ]]>
<![CDATA[Hasni Indah Sari]]>;
<![CDATA[Sajaratud Dur]]>;
<![CDATA[Hendra Cipta]]>
<![CDATA[ International Journal of Basic and Applied Science Vol. 11 No. 2 (2022): Sep: Basic and Applied Science ]]>
Publisher : <![CDATA[Institute of Computer Science (IOCS) ]]>
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DOI: 10.35335/ijobas.v11i2.99
<![CDATA[Rice is an essential commodity in Indonesia because of its role as a staple food, which most Indonesians consume daily as a carbohydrate intake. In its development to meet these needs, many things affect the stability of the availability and price of this rice. They are starting from climatic conditions, logistics systems, and the state of the domestic market and the international rice market. On the other hand, the increase in national rice consumption from year to year will continue to grow along with the rise in population. This research aims to apply the Monte Carlo and Markov Chain method to control Jansen rice supplies at the Jansen Rice Mill, Paluh Wave Street, Percut Sei Tuan District, Deli Serdang Regency, North Sumatra Province. The data used is data on rice demand from 2016 to 2021. Monte Carlo forecasts for the next few years, and Markov Chain provides what percentage of opportunities for rice demand to increase or decrease.]]>
<![CDATA[Analisa Kandungan Mineral, Lemak dan Protein pada Sampel Ikan Kembung Rebus Asin ]]>
<![CDATA[Leni Widiarti]]>;
<![CDATA[Sajaratud Dur]]>
<![CDATA[ KLOROFIL: Jurnal Ilmu Biologi dan Terapan Vol 6, No 1 (2022): KLOROFIL: JURNAL ILMU BIOLOGI DAN TERAPAN ]]>
Publisher : <![CDATA[Program Studi Biologi Fakultas Sains dan Teknologi Universitas Islam Negeri Sumatera Utara ]]>
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DOI: 10.30821/kfl:jibt.v6i1.12407
<![CDATA[Research has been carried out to analyze the content of minerals, fat and protein in salted boiled pufferfish samples. Samples were purchased from a traditional market in Medan City, Indonesia. The method used is the 2005 AOAC method. Crude protein analysis was carried out by the Kjeldhal method, crude fat analysis was carried out by the Soxhlet extraction method, water content analysis was carried out by the drying method, ash content analysis was carried out by the combustion method at high temperature, and mineral analysis was carried out by using an Atomic Absorption Spectrophotometer (AAS). The results of the analysis of the salted mackerel sample obtained crude protein content of 65.9770 %, this indicates that the salted boiled mackerel sample has a high protein content. Crude fat content from the analysis is 16.7600 %. The water content and ash content of the boiled mackerel samples were 9.5077% and 6.2700%, respectively. Mineral analysis, namely the levels of calcium and sodium obtained respectively 0.7635 ppm and 0.7571 ppm.]]>
<![CDATA[Penerapan Proses Stokastik Markov Chain Dalam Pengendalian Persediaan Produksi Kelapa Sawit di Perkebunan Nusantara IV Sumatera Utara ]]>
<![CDATA[Regina Kuswoyo]]>;
<![CDATA[Sajaratud Dur]]>;
<![CDATA[Hendra Cipta]]>
<![CDATA[ G-Tech: Jurnal Teknologi Terapan Vol 7 No 2 (2023): G-Tech, Vol. 7 No. 2 April 2023 ]]>
Publisher : <![CDATA[Universitas Islam Raden Rahmat, Malang ]]>
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DOI: 10.33379/gtech.v7i2.2025
<![CDATA[Problems experienced by PT. Perkebunan Nusantara IV are linked to an inconsistent supply of Fresh Fruit Bunches (FFB). This causes a temporary cessation of production so that CPO production is not in line with the target. The purpose of this study is to predict the rate of increase in raw material production results (CPO) and (FFB) using the Markov Chain Stochastic Process method. From the results of data processing for 2022, the amount of increase in production (CPO) was obtained with an average inventory control value of 1,509,087 Kg. While for the increase in production output (FFB) of 8,200,441 Kg. When compared to production in previous years, it can be seen that there will be an increase in 2021. Based on the results of research from palm oil inventories if the inventory of materials is too small, it will cause losses to the company, it is concluded that the measurement results using the Markov Chain Stochastic Process method show a shift in inventory caused by the age of the inventory, the company must take into account how much inventory is available in order to meet demand period.]]>
<![CDATA[ANALYSIS OF THE FACTORS THAT AFFECT THE ORIGINAL REGIONAL INCOME OF THE PROVINCE OF NORTH SUMATERA USING PANEL DATA REGRESSION ]]>
<![CDATA[Ika Junia Saputri]]>;
<![CDATA[Sajaratud Dur]]>;
<![CDATA[Ismail Husein]]>
<![CDATA[ ZERO: Jurnal Sains, Matematika dan Terapan Vol 6, No 2 (2022): Zero: Jurnal Sains Matematika dan Terapan ]]>
Publisher : <![CDATA[UIN Sumatera Utara ]]>
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DOI: 10.30829/zero.v6i2.15032
<![CDATA[Regional Own Revenue is all revenue from the government at the regional level in a certain period, usually in a period of one fiscal year. There are several factors that can be used to increase Local Own Revenue. The factors used in this study are gross regional domestic product, number of tourists and restaurant taxes. This research was carried out using panel data analysis which is a combination of cross-sectional data (Districts/Cities in North Sumatra) and also time series (Regional Original Income 2015-2020). The best model obtained is the random effect model. From the value of Regional Original Income and these three factors, it was found that the results of Regional Original Revenue in North Sumatra had increased in 2015-2018, but in 2019-2020 Regional Original Revenue in North Sumatra had decreased. The variable that has a positive effect and also has a significant effect on Regional Original Income is the restaurant tax variable. The R2 value of this model is 0.78634, which means that the ability of the Restaurant Tax variable to explain the Regency/City Local Revenue variable in North Sumatra Province is 78.634%, while the remaining 21.366% is explained by other factors not included in the model.]]>
<![CDATA[OPTIMISASI PRODUKSI USAHA MIKRO KECIL MENENGAH (UMKM) SARI RATU BAKERY DENGAN MENGGUNAKAN METODE PROGRAM LINIER FUZZY ]]>
<![CDATA[Fakhraini Zahra Afifa]]>;
<![CDATA[Sajaratud Dur]]>;
<![CDATA[Fibri Rakhmawati]]>
<![CDATA[ Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika Vol. 3 No. 1 (2023): Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika ]]>
Publisher : <![CDATA[LPPM Universitas Bina Bangsa ]]>
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DOI: 10.46306/bay.v3i1.47
<![CDATA[For Law No. 20 of 2008 is a Micro, Small and Medium Enterprises intending to increase and increase its business in the chart so that the national economy is rooted in a just economic democracy. Micro, Small and Prohibiting Efforts (UMKM) have contributed a lot to the development of the Indonesian economy. This significant position has urged many countries including Indonesia to then try to develop MSMEs. This research discusses the optimization of Sari Ratu Bakery profits using fuzzy linear programming. With a tolerance of 10% as the ability of Sari Ratu Bakery and without tolerance as a comparison. The calculation results of the Fuzzy Linear Program with a tolerance of 10%, the profit earned by Sari Ratu Bakery is Rp. 1,288,000 while the profit without adding tolerance is Rp. 1,226,667. While the profit without the Fuzzy Linear Program Production Optimization is Rp. 940,000. Therefore optimizing using Fuzzy Linear Programming is more efficient and can be used for optimizing production profits]]>
<![CDATA[Sistem Pendukung Keputusan Penerrima Bantuan Zakat untuk Anak Yatim Menggunakan FMADM dengan Metode AHP ]]>
<![CDATA[Sajaratud Dur]]>;
<![CDATA[Fibri Rakhmawati]]>;
<![CDATA[Jumianti Ritonga]]>
<![CDATA[ SATIN - Sains dan Teknologi Informasi Vol 8 No 2 (2022): SATIN - Sains dan Teknologi Informasi ]]>
Publisher : <![CDATA[STMIK Amik Riau ]]>
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DOI: 10.33372/stn.v8i2.882
<![CDATA[Penelitian ini bertujuan untuk membuat sebuah model pendukung keputusan di BAZNAS (Badan Amil Zakat Nasional) Sumatera Utara dalam menentukan calon penerima zakat. Dalam penelitian ini akan membahas tentang pengaplikasian Sistem Pendukung Keputusan (SPK). Pada penelitian ini peneliti menggunakan Fuzzy Multiple Attribute Decision Making (FMADM) dengan metode Analytical Hierarchy Process (AHP), metode ini dipilih karena metode ini mampu melakukan perbandingan antar kriteria yang lebih kompleks bila dibandingkan dengan metode Sistem Pendukung Keputusan (SPK) yang lainnya. Untuk kriteria yang digunakan dalam dalam penelitian ini ada tiga yaitu status, umur dan kelengkapan surat calon penerima zakat, dengan status merupakan cost(C), usia dan kelengkapan surat merupakan benefit(B), selanjutnya melakukan normalisasi pada masing-masing kriteria berdasarkan jenis atribut setelah melakukan normalisasi maka diperoleh nilai preferensi. Nilai preferensi teretinggi adalah penerima zakat yang akan lebih diprioritaskan. Nilai preferensi tertinggi pada Salsabilah Nasution dengan nilai preferensi 0,004633462. Hasil utama dari penelitian ini adalah sebuah perangkingan calon penerima zakat BAZNAS Sumatera Utara pada 289 calon penerima zakat.]]>
<![CDATA[OPTIMASI PRODUKSI BANDREK DENGAN PENERAPAN METODE GOAL PROGRAMMING ]]>
<![CDATA[Hasyim Hawari Lubis]]>;
<![CDATA[Sajaratud Dur]]>;
<![CDATA[Hendra Cipta]]>
<![CDATA[ Journal of Maritime and Education (JME) Vol. 3 No. 1 (2021): Article Research, Februari 2021 ]]>
Publisher : <![CDATA[Politeknik Adiguna Maritim Indonesia ]]>
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DOI: 10.54196/jme.v3i1.38
<![CDATA[Abstrak.,Perencanaan produksi memiliki fungsi penting dalam perusahaan. Perencanaan produksi merupakan kegiatan untuk menetapkan produk yang akan diproduksi, jumlah yang dibutuhkan, kapan produk harus selesai dan sumber-sumber yang dibutuhkan. Dalam perencanaan produksi tujuan yang ingin dicapai yaitu, harus mempertimbangkan volume produksi agar dapat memenuhi permintaan pasar, biaya produksi yang minimum, dan keuntungan maksimum. UD Bandrek Halim memiliki tujuan untuk memenuhi permintaan pasar dan juga mempertimbangkan biaya yang digunakan selama proses produksi agar keuntungan yang diperoleh dapat maksimal. Pada penelitian ini, menggunakan metode Goal Programming untuk mengoptimalkan produksi bandrek yang mana metode ini dapat menyelesaikan lebih dari satu tujuan dan penyelesaian model dilakukan dengan bantuan program LINGO 18.0. Hasil dari penelitian ini diperoleh solusi optimal yaitu tercapainya target volume penjualan, biaya produksi tidak melebihi batas yaitu sebesar Rp46.917.969,- dan juga target keuntungan tercapai yaitu Rp62.116.551,- selama 6 bulan.]]>
