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All Journal International Journal of Electrical and Computer Engineering Bulletin of Electrical Engineering and Informatics Al Fikra : Jurnal Ilmiah Keislaman Program Kreativitas Mahasiswa - Teknologi Islam Futura Jurnal Pendidikan Agama Islam Al-Thariqah Sinkron : Jurnal dan Penelitian Teknik Informatika SIKLUS: Jurnal Teknik Sipil Jurnal Pendidikan Ekonomi (JURKAMI) AL-TANZIM : JURNAL MANAJEMEN PENDIDIKAN ISLAM Jurnal PTK dan Pendidikan MES: Journal of Mathematics Education and Science Khazanah Pendidikan Islam Leibniz: Jurnal Matematika QISTINA: Jurnal Multidisiplin Indonesia KOLONI Innovative: Journal Of Social Science Research Al-Zayn: Jurnal Ilmu Sosial & Hukum Journal of Humanities and Social Studies
Sawaluddin Sawaluddin, Sawaluddin
Pascasarjana UIN Sumatera Utara
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Nursing Public Health Social Sciences Transportation Other

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A Mathematical Model of Diet Menu Problem Based on Boolean Linear Programming Approach Harahap, Latifah Hanum; Nasution, Mahyuddin K. M.; Sawaluddin, Sawaluddin
Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 3 (2023): Article Research Volume 7 Issue 3, July 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i3.12592

Abstract

This study aims to model the diet menu problem based on a Boolean Linear Programming approach. A balanced diet is the key to a healthy lifestyle. A balanced diet is a diet that combines foodstuffs in the right amount of food components in one menu (dishes using certain recipes). When you have an unbalanced diet, your body will not get the right amount of nutrients. This is what causes the importance of managing the diet menu. Because of that, a diet menu problem model was formed based on the Boolean Linear Programming approach to cover a varied range of daily diet menu management and meet daily nutritional needs while minimizing costs. The stages of establishing the diet menu problem model are carried out by determining the notations, parameters, variables, objective functions, and some constraints related to the diet menu.
Analisis Penerapan Value Engineering pada Konstruksi Lantai Jembatan Cable Stayed Sawaluddin, Sawaluddin; Kadir, Abdul; Edwin, Romy Suryaningrat
Siklus : Jurnal Teknik Sipil Vol. 10 No. 1 (2024): Siklus: Jurnal Teknik Sipil
Publisher : Program Studi Teknik Sipil Fakultas Teknik Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/siklus.v10i1.19189

Abstract

Penelitian bertujuan untuk menemukan solusi konstruksi yang paling ekonomis untuk lantai jembatan cable stayed yang akan digunakan dalam pembangunan jembatan penghubung Pulau Muna dan Buton dengan penerapan rekayasa nilai atau value engineering (VE). Analisa kekuatan struktur jembatan dilakukan dengan menggunakan software analisa struktur CSI Bridge v.24. Tahap informasi, tahap kreatif, tahap analisis, dan tahap rekomendasi merupakan 4 (empat) tahapan dalam langkah kerja metodologi penelitian rekayasa nilai. Untuk memilih jenis jembatan yang akan dirancang, informasi awal tentang lokasi jembatan diidentifikasi pada tahap informasi. Tahap kreatif dilakukan dengan menentukan jenis lantai jembatan yang akan dianalisis. Tahap analisis menentukan model lantai jembatan dengan cara analisis siklus hidup jembatan. Tahap rekomendasi dilakukan dengan merekomendasikan model lantai jembatan yang paling ekonomis untuk digunakan sebagai lantai jembatan kabel. Hasil analisis menggunakan rekayasa nilai dengan pendekatan analisis biaya siklus hidup (life cycle cost/LCC) menunjukkan bahwa dari beberapa model lantai jembatan yang dievaluasi, model 2 menunjukkan sebagai yang paling efisien dari segi biaya yakni sebesar Rp.648.346.291.191,68 dengan nilai pembangunan sebesar Rp.750.178.311.773,30 dan nilai penghematan sebesar 43,58% dan 14,42% terhadap lantai jembatan model 1 dengan nilai sisa Rp.866.921.706.028,59, nilai pembangunan Rp.1.100.038.825.447,22 dan nilai sisa model 3 sebesar Rp.1.649.977.529.597,29, nilai pembangunan Rp.1.751.809.550.178,90. Sehingga dapat disimpulkan bahwa lantai jembatan model 2 lebih menghemat penggunaan biaya dibanding lantai jembatan model 1 dan 3.
MEMINIMUMKAN BIAYA TRANSPORTASI DENGAN METODE ALLOCATION TABLE METHOD (ATM) DAN MODIFIED DISTRIBUTION (MODI) Ginting, Yoga Gilbert; Syahmarani, Aghni; Gultom, Parapat; Sawaluddin, Sawaluddin
MES: Journal of Mathematics Education and Science Vol 10, No 1 (2024): Edisi Oktober
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/mes.v10i1.9491

Abstract

Tujuan penelitian ini adalah untuk mengkaji metode solusi awal Allocation Table Method (ATM) dalam meminimalisir biaya transportasi pendistribusian dengan solusi optimal Modified Distribution (MODI). Untuk mengkaji solusi awal yang layak yaitu Allocation Table Method (ATM), dalam penelitian ini akan dilakukan percobaan modifikasi pada langkah penyelesaiaannya, dengan diberikan sebuah implementasi kasus pada sebuah instansi. Hasil penelitian membuktikan bahwa solusi awal layak menggunakan Metode Tabel Alokasi (ATM) dan percobaan modifikasi dengan menggunakan biaya genap minimum, solusi yang dihasilkan optimal dan biaya transportasi lebih minimum.
MODEL FUZZY GOAL PROGRAMMING DALAM MENGANALISIS KEOPTIMALAN LAPORAN KEUANGAN Telaumbanua, Tolona Berkat Lindung; Nasution, Putri Khairiah; Sawaluddin, Sawaluddin; Syahputra, Muhammad Romi
MES: Journal of Mathematics Education and Science Vol 10, No 1 (2024): Edisi Oktober
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/mes.v10i1.9484

Abstract

Laporan keuangan merupakan sarana yang dipakai perusahaan dengan tujuan untuk menyampaikan informasi terkait aset, liabilitas, ekuitas, pendapatan, beban dan arus kas. Dalam mencapai beberapa tujuan, laporan keuangan perlu untuk dianalisis agar diperoleh informasi yang dapat menjadi dasar kebijakan untuk periode mendatang, supaya diperoleh laporan keuangan yang optimal. Untuk menganalisis keoptimalan laporan keuangan digunakan model fuzzy goal programming. Fuzzy goal programming merupakan suatu metode yang menerapkan himpunan fuzzy pada goal programming. Dengan menggunakan metode ini, peneliti mencari deviasi dari setiap sasaran yang menghasilkan derajat kepuasan yang maksimal. Oleh karena itu, peneliti menggunakan model fuzzy goal programming untuk menganalisis keoptimalan laporan keuangan BCA. Model fuzzy goal programming diselesaikan dengan bantuan software Lingo 20.0. Hasil penelitian yang diperoleh menunjukkan bahwa ke enam sasaran (memaksimalkan total aset, meminimalkan total liabilitas, memaksimalkan total ekuitas, memaksimalkan total pendapatan, meminimalkan total beban, dan memaksimalkan total arus kas) telah tercapai yang berarti bahwa laporan keuangan BCA sudah optimal. Namun, keoptimalan laporan keuangan tersebut seharusnya dapat ditingkatkan karena hasil penelitian menunjukkan bahwa total aset dapat ditingkatkan sebesar Rp 28.340,10 miliar, total liabilitas dapat diturunkan sebesar Rp 20.919,24 miliar, total ekuitas dapat ditingkatkan sebesar Rp 49.258,35 miliar, total pendapatan dapat ditingkatkan sebesar Rp 4.628,130 miliar, total beban dapat diturunkan sebesar Rp 515,5290 miliar, dan total arus kas dapat tingkatkan sebesar Rp 5.240,053 miliar selama 8 tahun terakhir.
Kajian Metode Penalti Pada Optimisasi Linear Dengan Kendala Nonlinear Siddik, Fajar Erin; Nababan, Esther Sorta Mauli; Sawaluddin, Sawaluddin; Zahedi, Zahedi
MES: Journal of Mathematics Education and Science Vol 10, No 1 (2024): Edisi Oktober
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/mes.v10i1.9340

Abstract

This research aims to examine the penalty methods used in linear optimization. The main objective is to identify the advantages and disadvantages of each penalty method, as well as determine the specific context in which each method is most effective. This research belongs to the literature research type. The study is conducted on prepared cases to obtain the optimal result of each penalty method. Penalty methods and barrier methods are interrelated in optimization, especially in handling problems with constraints. The penalty method is used to start the solution search, while the barrier method is applied at the final stage to refine the solution. This is because the penalty method is able to provide an initial solution quickly, which can then be refined using the barrier method to better approach the constraint boundary.
Optimisasi Transportasi Pada Lingkungan Kabur Dengan Penerapan North West Corner dan Fuzzy Modified Distribution Method Tambunan, Gilbert Pauly Hamonangan; Gultom, Parapat; Sawaluddin, Sawaluddin; Syahputra, Muhammad Romi
MES: Journal of Mathematics Education and Science Vol 10, No 1 (2024): Edisi Oktober
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/mes.v10i1.9732

Abstract

Distribution of agricultural commodities to processing industries requires quite large costs. This is caused by suboptimal allocation. Optimal allocation must take into account differences in transportation distribution costs in each destination area. Pamah Village has a corn commodity, corn which is produced during the harvest season. In each harvest season, the harvest is sold to 5 collectors. From these collectors, it is marketed to 12 corn processing industries. In optimizing allocation and minimizing distribution costs, it is completed using a fuzzy approach and the North West Corner method to get an initial solution, as well as the Fuzzy Modified Distribution method to get an optimal solution. The results of this research resulted in distribution of deliveries from 5 collectors to 12 corn processing industries with a minimum total cost of Rp 1,410,507,435.00. 
Analisis Sensitivitas Metode AHP dalam Penentuan Guru Teladan Berdasarkan Kinerja Sitompul, Weny Grace; Nababan, Esther Sorta Mauli; Gultom, Parapat; Sawaluddin, Sawaluddin
MES: Journal of Mathematics Education and Science Vol 10, No 1 (2024): Edisi Oktober
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/mes.v10i1.9659

Abstract

The aim of this research is to examine the final ranking results of the AHP method through sensitivity analysis. The sensitivity value is sought to predict the situation if there is a change in the weight of the decision criteria. A case example in this research is the determination of an exemplary teacher at SDN 028068 Binjai based on their performance using the AHP method. The decision criteria for this research are Academic Qualifications ( ), Educator Certificate ( ), Pedagogical Competency ( ), Personality Competency ( ), Social Competency ( ), and Professional Competency ( ). Before sensitivity analysis, preliminary final results were obtained by the AHP method. From the final results of the initial ranking using the AHP method, experiments were carried out through several stages of sensitivity analysis. Of all the experiments, generally experienced the most changes in priority order, especially in  with 12 changes in alternative priority order. Then through the sensitivity testing process, sensitivity 1 gets the highest value in the experiment with a value of 0.0282, sensitivity 2 in the experiment with a value of 0.1269, and sensitivity 3 in the  experiment with a value of 0.1256.
THE CONSTRUCTION OF HADITH ADDRESSING GENETIC ENGINEERING OF HUMANS Tangngareng, Tasmim; Abdullah, Irwan; Rahman, Rahman; Sawaluddin, Sawaluddin
Islam Futura Vol 23, No 1 (2023): Jurnal Ilmiah Islam Futura
Publisher : Universitas Islam Negeri Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/jiif.v23i1.14716

Abstract

This paper explores positions of hadith and ethics in discussing the genetic engineering of humans by departing from the following questions: a) how do hadith contribute to constructing various aspects of human genetics? b) how did the social context around Prophet Muhammad affect the construction of the hadith? c) how do hadith addressing human genetics relate to scientific development? This paper reveals that the ethics and process of genetic engineering are prescribed in the hadith, illuminating the contextual debates of its time. Issues of genetics that arise in the discourse of human existence, particularly regarding sex and skin color, show a contestation of values related to the position of genetic factors as undeniable. Scientific development provides answers to the increasingly complex and contestatory discourse on genetics and necessitates a paradigm shift in the Muslim community, which often places hadith as a believed and practiced textual truth
Discrete optimization model for multi-product multi-supplier vehicle routing problem with relaxed time window Firdaus, Muliawan; Mawengkang, Herman; Tulus, Tulus; Sawaluddin, Sawaluddin
International Journal of Electrical and Computer Engineering (IJECE) Vol 15, No 1: February 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v15i1.pp592-603

Abstract

This study examines the complicated logistics optimization issue known as the vehicle routing problem for multi-product and multi-suppliers(VRP-MPMS), which deals with the effective routing of a fleet of vehicles to convey numerous items from multiple suppliers to a set of consumers. In this problem, products from various suppliers need to be delivered to different customers while considering vehicle capacity constraints, time windows, and minimizing transportation costs. We propose a hybrid approach that combines a generalized reduced gradient method to identify feasible regions with a feasible neighborhood search to achieve optimal or near-optimal solutions. The aim of the exact method is to get the region of feasible solution. Then we explore the region using feasible neighborhood search, to get an integer feasible optimal (suboptimal) solution. Computational experiments demonstrate that our model and method effectively reduce transportation costs while satisfying vehicle capacity constraints and relaxed time windows. Our findings provide a viable solution for improving logistics operations in real-world scenarios.
Deep learning approaches for analyzing and controlling rumor spread in social networks using graph neural networks Manurung, Jonson; Sihombing, Poltak; Andri Budiman, Mohammad; Sawaluddin, Sawaluddin
Bulletin of Electrical Engineering and Informatics Vol 14, No 1: February 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v14i1.8143

Abstract

The pervasive influence of social networks on information dissemination necessitates robust strategies for understanding and mitigating the spread of rumors within these interconnected ecosystems. This research endeavors to address this imperative through the application of a graph neural network (GNN) model, designed to capture intricate relationships among users and content in social networks. The study integrates user-level attributes, content characteristics, and network structures to develop a comprehensive model capable of predicting the likelihood of rumor propagation. The proposed model is situated within a broader conceptual framework that incorporates sociological theories on information diffusion, user behavior, and network dynamics. The results of this research offer insights into the interpretability of the GNN model’s predictions and lay the groundwork for future investigations. The iterative refinement of the model, consideration of ethical implications, and comparison against traditional machine learning baselines emerge as crucial steps in advancing the understanding and application of deep learning methodologies for rumor control in social networks. By embracing the complexities of real-world scenarios and adhering to ethical standards, this research strives to contribute to the development of proactive tools for rumor management, fostering resilient and trustworthy online information ecosystems.
Co-Authors - Afrizal Abda Abda Abdul Kadir Aghni Syahmarani Andri Budiman, Mohammad Azwar, Nurul Azri Deddy Yusuf Yudhyarta Edwin, Romy Suryaningrat Ginting, Yoga Gilbert Harahap, Koiy Sahbuddin Harahap, Koiy Sahbudin Harahap, Latifah Hanum Helmiati Helmiati Herman Mawengkang Inayanti, Adisty Putri Indra Wahyu, Indra Irwan Irwan Kamila, Melisa Kembaren, Ricky Crist Geoversam Imantara Khairunnas Jamal Khairunnas Rajab Mahyuddin K. M Nasution Manurung, Jonson Muhammad, Sidiq Nababan, Esther Sorta Mauli Nasution, Putri Khairiah Opim Salim Sitompul Parapat Gultom Pasaribu, Ampudan Riki Poltak Sihombing Rahman Rahman Ridwan, Ridwan Sari, Ardita Meila Sefrianti, Riski Siddik, Fajar Erin Sihombing, Hanissa Wandansari Sitompul, Weny Grace Suarman Sutarman Sutarman Syahputra, Muhammad Syahputra, Muhammad Romi Syahriol Sitorus Tambunan, Gilbert Pauly Hamonangan Tangngareng, Tasmim Tanjung, Ilyas Telaumbanua, Tolona Berkat Lindung Tulus Tulus Yarni, Linda Zahedi . Zamsiswaya