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Hendra Cipta
Universitas Islam Negeri Sumatera Utara
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Optimizing the use of sewing materials to maximize production output Rakhmawati, Fibri; Rifki, Mhd Ikhsan; Husein, Ismail; Cipta, Hendra; Lubis, Riri Syafitri; Sari, Rina Filia
Abdimas Indonesian Journal Vol. 5 No. 2 (2025)
Publisher : Civiliza Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59525/aij.v5i2.1043

Abstract

This Community Service Program aims to optimize the use of sewing materials to maximize production output at Rumah Jahit Nila through the application of a linear programming model in the allocation and use of sewing materials in planning and maximizing production output. The implementation methods include mapping processes and data requirements and formulating a linear programming model relevant to the scale of Nila Sewing House MSMEs, as well as training and live demonstrations using QM as software to determine optimization solutions. The evaluation was conducted on 15 participants using a 1–4 Likert scale instrument with four assessment indicators, namely, training content, presenter's subject-matter expertise, event facilities, and benefits of the program. Descriptive analysis showed an overall average of 3.43 on a scale of 4, with a percentage level of 85.8%, which is in the Very Good category. In order, the indicator achievements are Presenter’s Subject-Matter Expertise = 3.53 (88.33%), Benefits of the Program = 3.47 ( 86.67%), Training Content = 3.40 (85.00%), and Event Facilities = 3.33 (83.33%). These results confirm that the competence of the speakers and the relevance of the benefits are the main strengths, while the content and facilities of the activities are areas for priority improvement. This program has successfully improved participants' technical capacity in modeling and implementing linear program-based raw material optimization, while also providing a foundation for operational implementation to reduce waste and increase throughput.
Efektifitas Pengetahuan Ibu Balita Terkait Gizi Seimbang Balita Untuk Mencegah Stunting Melalui Penyuluhan Di Gampong Kiran Krueng Jangka Buya Pidie Jaya Ambia Nurdin; Nurhaliza Nurhaliza; Zamzami Zamzami; Amiruddin Amiruddin; Zakiyuddin Zakiyuddin; Ricky Dear Fitria; Fauzi Aldina; Hendra Cipta; Muhammad Haikal
Jurnal Ilmu Kedokteran dan Kesehatan Indonesia Vol. 3 No. 3 (2023): November : Jurnal Ilmu Kedokteran dan Kesehatan Indonesia
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jikki.v3i3.2229

Abstract

Fulfillment of nutrition is very important for the growth and development of children, especially in the first 1000 days of life (HPK). Family, especially mothers play an important role in providing balanced nutrition, therefore mothers must have good knowledge about it. The purpose of this activity is to increase the knowledge of mothers of toddlers about balanced nutrition in toddlers. This activity was carried out in the village of Kiran Krueng. This study used a pre-experimental design method with the type of one group pretest-posttest design. The target in this study were the women of Kiran Krueng Village, Jangka Buya District, Pidie Jaya Regency. The questionnaire in this study was used to examine the effect of providing counseling about stunting on increasing the knowledge of women in Kiran Krueng Village, Jangka Buya District, Pidie Jaya Regency. The number of samples taken was 20 mothers. It is known that most of the respondents were female as many as 20 respondents with a percentage of 100%, while most of them were aged 25-30 years as many as 12 respondents with a percentage of 60%. The highest level of knowledge of mothers before being given counseling was in the moderate category, 7 people (35%). The highest level of knowledge of mothers after being given counseling was in the high category, 20 people (100%). The average level of knowledge of mothers before being given counseling was 2,05 and after being given counseling, it was 1,00. From these results it can be concluded that there were positive results from the counseling process carried out.
Optimization of Nursing Scheduling in Emergency by Using Genetic Algorithm Hasibuan, Mhd Panerangan; Cipta, Hendra
Jurnal Pijar Mipa Vol. 19 No. 1 (2024): January 2024
Publisher : Department of Mathematics and Science Education, Faculty of Teacher Training and Education, University of Mataram. Jurnal Pijar MIPA colaborates with Perkumpulan Pendidik IPA Indonesia Wilayah Nusa Tenggara Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jpm.v19i1.6412

Abstract

Scheduling nurse duty is one of the problems in health organizations that is quite complicated to solve. Starting from the uncertain number of patients, serious patient illnesses, characteristics of organizational groups, requests for nurses to take time off, and the qualifications and specialization of the nurses themselves are why scheduling in the ER is difficult to optimize. The same thing is being experienced by one of the health institutions, RSUD Dr. Pirngadi. Preparing schedules or determining the number of nurses on duty is still done manually, resulting in a lack of optimization in scheduling and the number of nurses who must be on duty, especially in the emergency department. In solving this problem, an appropriate method is needed so that the process of scheduling and optimizing the number of nurses can be formed properly. This research applies the Genetic Algorithm in optimal emergency department (IGD) nurse duty scheduling. Genetic algorithms, also called search algorithms, are based on the mechanisms of natural selection and genetics. Genetic algorithms are one of the appropriate methods for solving complex optimization problems. This method is good enough to optimize shift scheduling for the Emergency Room Nursing Service in a Hospital. This Genetic Algorithm can be a solution to multi-criteria and multi-objective problems modeled using biological and evolutionary processes. So, the concept of this method can be applied in optimizing the Nursing Service schedule. The results of calculations using the Genetic Algorithm show quite significant comparisons, including several nurses losing their positions and being eliminated by mutation because they could not compete with several other strong individuals.
Model Based Clustering for Regency/City Grouping Based on Community Welfare Indicators in North Sumatra Hasibuan, Muhammad Afif Fauzi; Cipta, Hendra; Dur, Sajaratud
Jurnal Pijar Mipa Vol. 19 No. 3 (2024): May 2024
Publisher : Department of Mathematics and Science Education, Faculty of Teacher Training and Education, University of Mataram. Jurnal Pijar MIPA colaborates with Perkumpulan Pendidik IPA Indonesia Wilayah Nusa Tenggara Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jpm.v19i3.6595

Abstract

This thesis aims to apply model-based clustering in grouping regencies/cities in North Sumatra based on Community Welfare Indicators to determine the number of groups (clusters) formed based on community welfare indicators in regencies/cities in North Sumatra and to understand the level of community welfare from this grouping in planning and managing community welfare in regencies/cities in North Sumatra, with the hope of achieving equal welfare in every region. The research method used is Model-Based Clustering, which uses 5 research data variables: HDI, Poor Population, Unemployment Rate, GDP, and Health. In this millennial era, the assessment of community welfare requires more attention. Rapid social, technological, and environmental changes have created new dynamics that can affect community welfare. The evaluation of community welfare is not only limited to economic parameters but also considers health, unemployment, and other factors. By using Model-Based Clustering, it is possible to determine the optimal number of groups (clusters) from various and possibly correlated variables, and the results are easier to understand, making the analysis and understanding of the results easier. Readers can learn about the level of community welfare, and the community and government can evaluate their welfare for future improvements. The research results show that among the groups of regencies/cities formed, five cities consistently show lower Gross Regional Domestic Product (GDP) and Human Development Index (HDI) than other cities. Therefore, a sustainable approach is needed to improve these cities' economic conditions and social welfare.
Application of the Support Vector Regression Method with the Grid Search Algorithm to Predict Movement Gold Price Puspita, Reni; Cipta, Hendra; Aprilia, Rima
Jurnal Pijar Mipa Vol. 19 No. 2 (2024): March 2024
Publisher : Department of Mathematics and Science Education, Faculty of Teacher Training and Education, University of Mataram. Jurnal Pijar MIPA colaborates with Perkumpulan Pendidik IPA Indonesia Wilayah Nusa Tenggara Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jpm.v19i2.6607

Abstract

Gold is an investment with the smallest risk because it can be sold anytime and anywhere. In Indonesia, gold bullion as an investment product is known for its purity level of 99.99%, namely gold bullion produced by PT. Aneka Tambang (Antam) through its Precious Metals business unit. Apart from its pure production, Antam gold bullion is easier to resell anytime and anywhere because it has an official certificate from the international gold standardisation institution, namely LBMA (London Bullion Market Association), to more easily estimate the value of gold bullion when sold. To overcome this, predictions of future gold prices are needed. In this research, one of the prediction methods is Support Vector Regression with the Grid Search Algorithm. In this method this method will be used to predict the price of gold, which aims to predict and find out the price of gold one year in the future to produce a level accuracy (MAPE) of 5.43% and the prediction of gold prices increasing from 2023-June-01 to 2024-March-23 while experiencing a decline starting in 2024-March-24. Research by examining the relationship between variables, which emphasises data consisting of numbers so that it is analysed based on statistical procedures using the Support Vector Regression method with data sourced from the daily price of gold bullion through PT. Gallery 24 Pawnshops, North Sumatra. Where this method is very well used in predicting by choosing the best kernel used is the linear kernel because, from these three kernels, the best hyperparameters were obtained for predicting gold price movements using a linear kernel with a division for training and testing data of 60: 40. The MAPE value obtained was 5.43.
Implementasi Teori Antrian Single Chanel Model (M/M/1) Menggunakan Microsoft Excel Dalam Pengujian Kelayakan Kendaraan Bermotor Pada Dinas Perhubungan Kota Medan Siti Khadijah Laoly; Wilia Usna; Nurhalimah Ritonga; Hendra Cipta
Bilangan : Jurnal Ilmiah Matematika, Kebumian dan Angkasa Vol. 2 No. 3 (2024): Bilangan : Jurnal Ilmiah Matematika, Kebumian dan Angkasa
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/bilangan.v2i3.51

Abstract

Vehicle testing in this research was carried out in the Practical Work Lecture program at the North Sumatra State Islamic University, MedanOne type of service provided is motor vehicle testing. Motor vehicle testing is very important to carry out for the safety of the driving public. When testing motorized vehicles, not only one vehicle will be tested, but many vehicles will be tested every day. The testing carried out will of course take quite a long time. Therefore, this research will use a queuing theory system, where this queue will be formed and help in managing and optimizing performance in motor vehicle testing. In this research, we will lokk at the service time and waiting time required for motor vehicle testing. The method used in this research is data taken in 2022. The data was processed using Microsoft Ecxel with service time results of 15,8 and waiting time of 57,05.
Analisis Diskriminan untuk Mengetahui Faktor yang Mempengaruhi Pilihan Peminatan pada Program Studi Matematika Di UINSU Clara, Nur Cellia; Hasibuan, Hani Maulida; Ayunda, Afrila; Khairani, Sabila; Cipta, Hendra
JURNAL JENDELA MATEMATIKA Vol. 3 No. 02 (2025): Jurnal Jendela Matematika: Edisi Juli 2025
Publisher : CV. Jendela Edukasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57008/jjm.v3i02.1706

Abstract

Penelitian ini bertujuan untuk mengidentifikasi faktor-faktor yang memengaruhi pemilihan peminatan mahasiswa pada Program Studi Matematika di Universitas Islam Negeri Sumatera Utara (UINSU). Terdapat dua peminatan yang ditawarkan, yaitu Statistika dan Operasi Riset. Data diperoleh dari 84 mahasiswa yang terbagi dalam dua kelompok peminatan, dan dianalisis menggunakan metode analisis diskriminan. Hasil analisis menunjukkan bahwa variabel minat dan bakat serta peluang kerja memiliki pengaruh signifikan terhadap keputusan peminatan, sedangkan lingkungan sosial tidak memberikan pengaruh yang berarti. Fungsi diskriminan yang dibentuk mampu mengklasifikasikan peminatan mahasiswa dengan tingkat akurasi sebesar 76,2%. Temuan ini menekankan pentingnya pengenalan minat pribadi dan prospek karier dalam proses bimbingan akademik mahasiswa.
Analysis of the Selection of the Best Household Ceramics Using the Complex Proportional Assessment (COPRAS) Method Apriza, Muhammad Amizaeni; Cipta, Hendra
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 4 (2024): Articles Research October 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i4.4784

Abstract

Rapid advances in communication and information technology due to globalization have had a significant impact on a number of industries, including the industrial sector. The industry is taking great advantage of the capabilities of this technology to search, store, distribute and present information. The ceramic sector in Indonesia looks increasingly promising every year. One type of building material that functions to cover the floor and beautify its appearance is ceramic. When choosing ceramics, consumers become confused because of the availability of various brands (vendors) with different themes and quality. When deciding on product quality, a decision support system can be implemented to offer a structured evaluation that assists stakeholders in the business and consumers in assessing high-quality ceramic options. DSS The complex proportional assessment method, or COPRAS, is used in system design. In improving the accuracy and efficiency of decision making, the COPRAS approach can evaluate several options and estimate them based on their utility level when attribute values ??are expressed in intervals. Based on the findings of this research, the application of the COPRAS method in the decision-making process to determine the best household ceramics can be used in selecting the best household ceramics by collecting data on ceramic criteria and the alternative used is the type of ceramic. The weights obtained for each criterion are then normalized which are then used to determine the Ui for each alternative, so that based on the results of this research the best household ceramics are obtained, namely Redhorse type ceramics with a Ui value of 100%, Fortuna type with a Ui value of 99.27%. , Prato type with a Ui value of 98.82%, Crystal type with a Ui value of 98.71%, Mulia type with a Ui value of 88.50%, Vancouver type with a Ui value of 88.24%, Murano type with a Ui value of 84.97% and the Virginia type with a Ui value of 79.77%.
Application Of The Weighted Product (WP) Method In The Selection Of Prospective New Employees Using Assessment Indicators At PT. Delta Sukses Sejahtera Rizky, Aldi; Cipta, Hendra
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 4 (2024): Articles Research October 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i4.4785

Abstract

In running its business, the success of a company is largely determined by the quality of its employees. To obtain quality employees who meet the required qualifications, companies must carry out a selection process in recruiting qualified new employee candidates. PT. Delta Sukses Sejahtera is a private company that operates in the field of recruitment services. This recruitment service serves companies by taking over the job of recruiting candidates. Each assessment is taken into account and considered according to the company's needs. So far, the selection process for prospective employees has experienced difficulties because they are still comparing the test results of prospective employees one by one to determine potential new employees. This process takes a long time. Apart from that, the old employee selection system created an element of subjective assessment. So it is necessary to build a decision support system using the Weighted Product (WP) method as an alternative solution, so that it runs effectively and reduces the occurrence of subjective assessments. Weighted Product (WP) is a method in a decision making system that connects attribute ratings using a multiplication technique, where the rating for each attribute needs to be raised to the power of the relevant attribute weight before calculation, this process is similar to the normalization stage. Based on the results of this research, it shows that from the five orders of candidates for recruiting new employees, it can be seen that the scores obtained by each prospective new employee are not too far apart from first to fifth. In the first and fifth places, they have similarities in the final psychological and educational criteria. Where the first and fifth psychological test criteria have almost perfect scores.
SIMULATION OF QUEUE PATIENT SERVICE Cipta, Hendra
ZERO: Jurnal Sains, Matematika dan Terapan Vol 1, No 1 (2017): January - June
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (858.389 KB) | DOI: 10.30829/zero.v1i1.1456

Abstract

Queue is one of the phenomena that occur in everyday activities experienced by everyone. As a result of this queue many people turn to other places to avoid a queue and get more leverage. The purpose of this study is to study the performance of the queue system by modeling a single queue simulation. From the analysis of distribution test calculation will be obtained by queuing model. The measured system parameters are expected average speed velocity, average service speed expectation, chance of busy period, probability of all patient service in system, expectation of queue length, expectation of waiting time in system, and waiting expectation in queue.Keywords: distribution test, queuing model, and system parameters
Co-Authors Abdul Halim Hasugian Ade Putri Oktavia Adek Kumala Sari Afrina Sinaga, Serly Agustian, Nandi Ahmad Ali Nasution Ahmad Fadholi Aishikin Jovanka Aisy Al-Khansa Amalia, Feby Ayu Ambia Nurdin Amiruddin Amiruddin Amiruddin Amiruddin Apriza, Muhammad Amizaeni Arianti, Mei Yunina Arini Arini Aulia, Surayya Ayu Hariati Ayunda, Afrila Barmawi Barmawi, Barmawi Batubara, Fikri Husin Br. Munte, Rahma Nadira Breghi, Willy Bukhari Bukhari Clara, Nur Cellia Cynthia, Mayang Modelina Dalilah, Mufarrida Dalimunthe, Aldiansah Desiana Desiana Destiana, Yolanda dewi, mutia hatina Dian Aulia Zulfa Dian Maya Sari Dian Nugraha Dimas Sunanta Dongoran, Raisha Zuhaira Dwi Ananta Br Sembiring Erika Handayani Br Siahaan Fadila Inka Syahfitri Fadillah Nay Marbintang Hrp Fahlevi, Mahfudz Reza Fauzi Aldina Fauzi Aldina Fernando, Anjas Fitrahadi, Agung Fitriana Hasibuan, May Fitriani Fitriani Fitriani Fitriani Fitriani Gurusinga, Ditha Aulia Gusti Arya Wicaksana Handrianto, Michael Harahap, Baran Enda Hari Kurniawan Harri Santoso Hasibuan, Hani Maulida Hasibuan, Mhd Panerangan Hasibuan, Muhammad Afif Fauzi Hasyim Lubis Hatamar, Hatamar Hazizah, Salsabillah Hwihanus Ida Ayu Putu Sri Widnyani Ika Silvia Ramadani Ilham Syaputra Indra Willy Juliansya Indrawati Indrawati Ir Zulkarnain, Ayu Najmita Binti Irvani, Ahmad Islamiyah, Annisa Rizka Ismail Husein, Ismail Isnani Nurul Deva Jalaluddin Mahally Hasibuan Kana Nurrohma Khairani, Sabila Kharisma, Alfinda Lathifah Hanum, Lathifah Lia Lestari Linna Syahputri Linna Syahputri Lubis, Riri Safitri Mahyuddin Makmun, Sukran Marina Ulfah Mario Bagus Sanjaya Marpaung, Rizq Alwi Matondang, Agnes Febrianti Mei Yunina Arianti Meilani, Reka Mhd Ikhsan Rifki Mirna Rahmah Lubis Muhammad Alfi Syahri Harahap Muhammad Haikal Muhammad Haikal Muhammad Irham Setiadi Muhammad Muhammad Muliana, Muliana Musa Musa Mutadhahadi Mutadhahadi Nasrul Mahruf Aznawi Nasution, Faisal Anshori Nasution, Hamidah Nasution, Hanifa Mardiatun Nasution, Mutiah Ningsi, Ria Sagita Nugraha Pratama Ramadhan Nurdin, Ambia Nurfebriyanti, Endah Nurhalimah Ritonga Nurhaliza Nurhaliza Nurhaliza Nurhaliza Nurjannah Nurjannah Nurma Sari Nurul Aprilla Rizki Nurul Huda Prasetya Ok Muhammad Zikri Fadillah oktavia handayani Panca Taufik Kurahman Paramita, Esti Puspita, Reni Putra, Fani Darmawan Putri Harahap, Rahmelia Putri, Octa Yulanda Radiamoda, Anwar Rahmad Julianto Rahmad Julianto Rahmadani, Artika Rakhmawati, Fibri Rezki Azmi Ricka Afriani Ricky Dear Fitria Ricky Dear Fitria Rico Pradana Dita Rima Aprilia Rima Aprilia Rima Aprilia Rina Filia Sari Rina Filia Sari, Rina Filia Rina Widyasari Rina Widyasari Rina Widyasari Rina Widyasari Rini Halila Nasution Rini Halila Nasution Riri Syafitri Lubis Rizka Auva Rafiqi Rizky, Aldi Rizq Alwi Marpaung Rohima Almahuwanah Rosnidawati Sajaratud Dur Sajaratud Dur Sajaratud Dur Sajaratud Dur, Sajaratud Salsalina, Iren SANAINI, SANAINI Sartika Dewi Sembiring, Tesya Yunita Setyorini, Winarti Sianipar, Putri Nopriani Sinaga, Melly Nia Fajriani Siregar, Machrani Adi Putri Siti Khadijah Laoly Siti Rohanah SRI RAHAYU Sri Rahmadani, Sri Suhadiyah, Elsyah Suhardina Rangkuti Suhendra, Darmiko Suratna, Ayu Annisa Syahfitri, Nenna Irsa Syahputra, Bayu Teza Syahputri, Linna Teuku Maulana Uci Rahmadani Ulfa, Khoirina Ulyah, Himmatul Umami, Fauzah Usman, Muslim Utami, Ristika Dian Wandari, Rizky Wenny Marta Dolok Saribu widya panjaitan Widyasari, Rina Wilia Usna Winda Risfani Nst Windu Asmoro Wita Sari, Eka Yuniar Amanda Lubis yusmanidar Zakirman, Al Fakhri Zakiyuddin Zakiyuddin Zakiyuddin Zakiyuddin Zamzami Zamzami Zamzami Zamzami Zulaika, Zulaika