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All Journal ZERO : Jurnal Sains, Matematika dan Terapan EKSAKTA : Jurnal Penelitian dan Pembelajaran MIPA Justek : Jurnal Sains Dan Teknologi JOURNAL OF SCIENCE AND SOCIAL RESEARCH Saintifik : Jurnal Matematika, Sains, dan Pembelajarannya Math Educa Journal JURNAL PEMBELAJARAN DAN MATEMATIKA SIGMA (JPMS) Jurnal Sains dan Teknologi Proximal: Jurnal Penelitian Matematika dan Pendidikan Matematika TIN: TERAPAN INFORMATIKA NUSANTARA Majalah Ilmiah Matematika dan Statistika (MIMS) International Journal Of Science, Technology & Management (IJSTM) Jurnal Biosense FARABI: Jurnal Matematika dan Pendidikan Matematika Journal of Mathematics and Scientific Computing With Applications Relevan : Jurnal Pendidikan Matematika
Sajaratud Dur, Sajaratud
Universitas Islam Negeri Sumatera Utara
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PENGOLAHAN ZEOLIT SEBAGAI BAHAN PENGUAT Dur, Sajaratud
ZERO : Jurnal Sains, Matematika dan Terapan Vol 1, No 1 (2017)
Publisher : ZERO : Jurnal Sains, Matematika dan Terapan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (23.357 KB)

Abstract

Penelitian pengolahan zeolit sebagai bahan penguat dilakukan untuk memanfaatkan sumber daya alam yang ada di Provinsi Sumatera Utara. Pengolahan zeolit tersebut sehingga berukuran nanometer dengan menggunakan ballmill. Pengaktifan zeolit dilakukan dengan pemanasan 1050 C selama 10 menit. Ukuran partikel zeolit yang dihasilkan adalah 290 nanometer. Hal ini diperoleh dari 80 gram zeolite berukuran 1700 nanometer menjadi 15 gram berukuran 290 nanometer selama 34 jam proses grinding di dalam ballmill. Kata Kunci: zeolit, nanometer, pengolahan, penguat 
ZEOLITE PROCESSING AS HEAVY MATERIAL Dur, Sajaratud
ZERO: Jurnal Sains, Matematika dan Terapan Vol 1, No 1 (2017): January - June
Publisher : UIN Sumatera Utara Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (532.935 KB) | DOI: 10.30829/zero.v1i1.1457

Abstract

Research on zeolite processing as a reinforcement material is done to utilize natural resources in North Sumatera Province. Zeolite processing is so nanometer-sized by using a ballmill. Activation of zeolite is done by heating 1050 C for 10 minutes. The resulting zeolite particle size is 290 nanometers. It is obtained from 80 grams of zeolite measuring 1700 nanometers to 15 grams measuring 290 nanometers for 34 hours of grinding process in the ballmill.
Penerapan Metode Analytical Hierarchy Process (AHP) dalam Penentuan Penerima Bantuan Program keluarga harapan (PKH) di Kelurahan Binjai Kecamatan Medan Denai Fauza, Gita Dwi; Dur, Sajaratud; Rakhmawati, Fibri
TIN: Terapan Informatika Nusantara Vol 1 No 11 (2021): April 2021
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

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Abstract

Poverty is the main problem and complex for every country including Indonesia. APS (Angka Partisipasi Sekolah) percentage of Indonesia is declining in the higher education. It causes the quality of the next generation to become low and trapped in a cycle of poverty. In order to accelerate poverty reduction, starting is implementing Program Keluarga Harapan (PKH). The different criterias that are used, make the companion staff find it difficult to determine the priority components of RTM (Rumah Tangga Miskin) that become PKH participants. This study aims to determine the priority of the RTM component that can be used by everyone, espesially for the PKH companion staff to be on target. The method used is the AHP method to overcome the priority criteria, which will then be sorted from the highest to the lowest, by testing 100 family data of prospective recipients of PKH assitance, obtained 95 data on families who are eligible to receive PKH assistance and 5 data on families who are not eligible to receive PKH.
Minimalisasi Biaya Pendistribusian Air PDAM Tirtanadi Cabang Deli Tua dengan Menerapkan Metode Modified Distribution (MODI) Abimayu, Satria; Dur, Sajaratud; Cipta, Hendra
TIN: Terapan Informatika Nusantara Vol 2 No 10 (2022): Maret 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v2i10.1328

Abstract

PDAM Tirtanadi is a large company owned by Sumatera Utara region which has been operating since 1905. In distributing water, PDAM Tirtanadi spends a lot of money. The purpose of this research is to apply the Modified Distribution (MODI) method in order to achieve minimum costs in distributing water to water companies PDAM Tirtanadi. In completing the transportation method, the researcher uses two stages, namely first to find an initial solution using the North West Corner (NWC) method and secondly to improve the initial solution to find out whether it is optimal or not using the Modified Distribution (MODI) method. The results of the study use the initial solution using the North West Corner method and secondly. improve the initial solution to find out whether it is optimal or not with the Modified Distribution (MODI) method at the water company PDAM Tirtanadi Deli Tua branch in April it was Rp 7,773,282,978
The Penerapan Metode Just In Time (JIT) Dalam Pengendalian Persediaan Budidaya Ikan Lele Untuk Meminimalkan Biaya Persediaan Syahputra, Fakhri Ananda; Dur, Sajaratud; Rakhmawati, Fibri
TIN: Terapan Informatika Nusantara Vol 2 No 10 (2022): Maret 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v2i10.1352

Abstract

Catfish farming is a business that is engaged in the fishing industry. An activity in which people raise catfish (including spawning, breeding, etc.) to be sold. Therefore, the just in time method is used to minimize costs by planning the inventory calculation of the cost of catfish cultivation needs such as seeds, marketing, raw materials so that costs are more optimal and market supplies more controlled. After analyzing the total cost of inventory in Pak Dedy Santoso catfish farming, it can be concluded that in the company's calculation method the level of raw material requirements is 6000 kg, with 12 times the quantity of delivery, the total cost of raw material inventory in catfish farming is Rp. 2,670. 750.00. Whereas in the calculation of the Just In Time system, namely delivery of 85 times with a total inventory cost of Rp. 289,684, - and it can be seen that the cost savings obtained are Rp. 2,381,066. Then about the tolerance value for defects, damage, loss, and others by 5%. At the inventory level of 6000 kg, assuming a tolerance level of 5%, it is known that the inventory in the company's calculation is 6,300 kg
Estimated Number of Palm Oil Production Using Artificial Neural Networks at the North Sumatra Province Plantation Service Majidah, Nur; Dur, Sajaratud; Aprilia, Rima
Justek : Jurnal Sains dan Teknologi Vol 6, No 4 (2023): Desember
Publisher : Unversitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/justek.v6i4.20313

Abstract

Abstract:  Artificial Neural Network is an information processing system that is designed to imitate the workings of the human brain in solving problems by carrying out a learning process. In 2019 the total production of palm oil at People's Plantations was 7,006,986.36 tons, PTPN 5,541,934.78 tons, PBS 12,574,520.68 tons. In 2020 the total production of palm oil in People's Plantations increased to 7,199,750.00 tons, while PTPN decreased to 5,500,327.63 tons, PBS decreased to 11,361,158.60 tons. In 2021 the total production of palm oil in the three agencies will increase, namely in the People's Plantations 7,451,890.91 tons, PTPN 5,809,316.15 tons, PBS 11,631,135.30 tons. Therefore a system is needed that is able to estimate the amount of palm oil production in the future, namely in 2022. The Artificial Neural Network Backpropagataion method is used to estimate the annual data on the amount of palm oil production in order to find out the results of the amount of palm oil production. There is an estimation of the total production of palm oil which is 24.432.878,09 tons of production consisting of smallholders' plantations is 7.134.629,47 tons, PTPN is 5.588.976,44 tons, PBS is 11.709.272,18 tons. It is highly probable that the estimated amount of palm oil production in 2022 will increase. Abstrak: Artificial Neural Network adalah suatu sistem pemrosesan informasi yang didesain dengan meniru cara kerja otak manusia dalam menyelesaikan masalah dengan melakukan proses belajar. Pada tahun 2019 jumlah produksi kelapa sawit pada Perkebunan Rakyat 7.006.986,36 ton, PTPN 5.541.934,78 ton, PBS 12.574.520,68 ton. Pada tahun 2020 jumlah produksi kelapa sawit pada Perkebunan Rakyat meningkat mencapai 7.199.750,00 ton,  sedangkan pada PTPN menurun mencapai 5.500.327,63 ton, PBS menurun mencapai 11.361.158,60 ton. Pada tahun 2021 jumlah produksi kelapa sawit pada ketiga instansi mengalami peningkatan yaitu pada Perkebunan Rakyat 7.451.890,91 ton, PTPN 5.809.316,15 ton, PBS 11.631.135,30 ton. Oleh karena itu dibutuhkan sistem yang mampu mengestimasikan jumlah produksi kelapa sawit di masa yang akan datang yaitu pada tahun 2022. Metode Artificial Neural Network Backpropagataion digunakan untuk melakukan estimasi terhadap data tahunan jumlah produksi kelapa sawit agar dapat mengetahui hasil jumlah produksi kelapa sawit. Terdapat hasil estimasi jumlah produksi kelapa sawit adalah 24.432.878,09 ton produksi yang terdiri dari Perkebunan Rakyat adalah 7.134.629,47 ton, PTPN adalah 5.588.976,44 ton, PBS adalah 11.709.272,18 ton. Besar kemungkinan estimasi jumlah produksi kelapa sawit pada tahun 2022 akan turun.
Prediksi Jumlah Penduduk Miskin Di Sumatera Utara Dengan Metode Jaringan Syaraf Tiruan Backpropagation Purbowati, Septi; Dur, Sajaratud; Widyasari, Rina
Justek : Jurnal Sains dan Teknologi Vol 6, No 4 (2023): Desember
Publisher : Unversitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/justek.v6i4.20091

Abstract

Abstract:  A artificial neural network is an information processing system that is inspired by the biological nervous system, such as the performance of the brain that processes information. In the 2017-2020 period the data on the number of poor people in North Sumatra used were secondary data obtained from the Central Statistics Agency. There are prediction results for the number of poor people in North Sumatra, namely 77,927 people in 2022 consisting of 25 districts, where the data is divided into two parts, namely 5 test data and 20 training data. Artificial neural networks with the Backpropagation method are able to determine or predict the number of poor people in North Sumatra.Abstrak: Jaringan syaraf tiruan adalah sebuah pengolahan informasi yang terinspirasi dari system kerja syaraf biologis, seperti kinerja otak yang memproses suatu informasi. Pada periode 2017-2020 data jumlah penduduk miskin di Sumatera Utara yang digunakan adalah data skunder yang diperoleh dari Badan Pusat Statistik Sumatera Utara Medan. Terdapat hasil prediksi jumlah penduduk miskin di Sumatera Utara adalah 77. 927 jiwa pada tahun 2022 yang terdiri dari 25 kabupaten, dimana data tersebut terbagi menjadi dua bagian yaitu 5 data uji dan 20 data latih. Jaringan syaraf tiruan dengan metode Backpropagation mampu menentukan atau memprediksi jumlah penduduk miskin di Sumatera Utara.
Analisis Waktu Kelulusan Mahasiswa Menggunakan Bagging Cart pada Fakultas Sains dan Teknologi UIN Sumatera Utara MA, Wilda Syahrani; Dur, Sajaratud; Aprilia, Rima
FARABI: Jurnal Matematika dan Pendidikan Matematika Vol 6 No 2 (2023): FARABI
Publisher : Program Studi Pendidikan Matematika FKIP UNIVA Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47662/farabi.v6i2.628

Abstract

The percentage of students who graduate on time is one of the benchmarks for the accreditation assessment of a college. Therefore, the timeliness of graduating students is one of the things that must be observed by universities or study programs. This study aims to find out the classification of variables that affect the graduation time of undergraduate students of the Faculty of Science and Technology UIN North Sumatra Medan by using the CART method and to find out the increasing percentage of CART prediction accuracy with the Bagging method. The data used in this study is student data from the Faculty of Science and Technology, North Sumatra State Islamic University medan class of 2015 and 2016. The length of thesis preparation is the most influential variable for graduation time. Classification values are seen from the values of accuracy, sensitivity, and specificity. The CART method provides an Accuracy value of 80.64%, Sensitivity of 60%, and Specificity of 84.61%. While the Bagging CART method obtained Accuracy 87.1%, Sensitivity 66.7%, and Specificity 89.2%. Classification results with Bagging CART can increase classification accuracy by 6.5%. Based on the comparison of the accuracy values obtained, it can be concluded that the application of the Bagging method results in better classification accuracy compared to cart classification trees without Bagging.
Analisis Analisis Pengendalian Persediaan Air Mineral Di UD. Darman Dengan Menggunakan Metode Economic Order Quantity (EOQ): - Syafitri, Dwi; Dur, Sajaratud; Sari, Rina Widya
Jurnal Sains dan Teknologi Vol. 5 No. 2 (2023): Jurnal Sains dan Teknologi
Publisher : CV. Utility Project Solution

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Abstract

Untuk menghemat pengeluaran, manajemen persediaan dioptimalkan dengan memilih lot size, terkait dengan penentuan jumlah pesanan yang perlu dipesan untuk memenuhi kebutuhan supply dan demand agar persediaan tidak kekurangan persediaan. Tujuan dari penelitian ini adalah untuk menganalisis pengendalian persediaan air mineral dengan menggunakan metode Economic Order Quantity (EOQ) dan penerapan metode tersebut di UD. Darman. Penelitian ini merupakan penelitian deskriptif kuantitatif. Adapun frekuensi pembelian yang optimal air mineral AQUA Botol 600 ml sebesar 81 kali per 13 bulan atau sekitar 6 kali per bulan dan air mineral AQUA Botol 1.500 ml sebesar 55 kali per tahun atau sekitar 4 kali per bulan. Menurut metode EOQ perusahaan harus mengadakan persediaan pengaman sebesar 11.886 karton untuk botol AQUA ukuran 600 ml dan sebesar 2.947 karton untuk botol AQUA ukuran 1500 ml.
Faktor-Faktor Yang Mempengaruhi Minat Siswa SMA Untuk Melanjutkan Pendidikan Ke Perguruan Tinggi dengan Latent Class Regression Analysis Sinaga, Melly Nia Fajriani; Dur, Sajaratud; Cipta, Hendra
Proximal: Jurnal Penelitian Matematika dan Pendidikan Matematika Vol. 7 No. 1 (2024): Sustainable Development Goal in Mathematics and Mathematics Education
Publisher : Universitas Cokroaminoto Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30605/proximal.v7i1.3476

Abstract

Interest is an internal component within an individual that greatly influences his actions. Education is the process of changing the attitudes and behavior of a person or group in an effort to mature a person through teaching or training. The aim of this research is to determine the factors that influence high school students' interest in continuing their education to higher education using the latent class regression analysis method. The latent class regression analysis method can determine the influence of accompanying variables or covariates in the formation of latent classes. The most dominant factors influencing high school students' interest in continuing their education to higher education are needs, facilities and attention. In the first class the influencing factor is need. In the second and third classes the influencing factor is facilities. In the fourth class the influencing factor is attention.
Co-Authors Abimayu, Satria Anjelina, Repina Ardiansyah, Fikri Nur Cindy Irfani Manurung Dongoran, Rodiani Fauza, Gita Dwi Harahap, Tramilta Salsabila Hasibuan, Eka Khairani Hendra Cipta Heni Pujiastuti Ismail Husein, Ismail MA, Wilda Syahrani Maisarah Maisarah, Maisarah Majidah, Nur Matondang, Agnes Febrianti Miranti Harahap, Putri Muhammad Fathoni, Muhammad Munawaroh, Annisa Munthe, Esto Fanny NUR FITRIANI Nurainun, Umi Sarah Nurul Fadhilah Pamungkas, Mhd Dwiki Pharsy, Nazwa Nabila Purbowati, Septi Rakhmawati, Fibri Rima Aprilia Sari, Dinda Sari, Rina Widya Sartika Dewi Sinaga, Melly Nia Fajriani Siti Maysarah Sri Wahyuni Sunanda, Bona Dea Syafitri, Dwi Syahputra, Fakhri Ananda Tarigan, Umar Abdul Gani Wahyu Dianti, Ika Thrisna Widyasari, Rina Winanda, Sonya Zahratul Idami