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Penerapan Harmony Search Algorithm dalam Permasalahan Penjadwalan Flow Shop Indra Aulia; Erna Budhiarti Nababan; Muhammad Anggia Muchtar
Dunia Teknologi Informasi - Jurnal Online Vol 1, No 1 (2012): Jurnal Dunia Teknologi Informasi
Publisher : Universitas Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (666.479 KB)

Abstract

Dunia manufaktur dan industri jasa memiliki permasalahan dibidang penjadwalan. Penjadwalan adalah proses pengambilan keputusan yang berkaitan tentang pengalokasian sejumlah resource dan tugas dalam waktu tertentu. Oleh karena itu, dibutuhkan suatu teknik untuk mendapatkan penjadwalan yang efektif dan efisien. Flow shop merupakan salah satu permasalahan penjadwalan yang dikategorikan dalam permasalahan NP-hard. Permutation akan menjadi kendala dalam lingkungan flow shop dimana mesin-mesin diatur secara seri dengan menyusun antrian job mengikuti aturan FIFO. Harmony search algorithm salah satu teknik metaheuristik yang terinspirasi dari permainan musik. Algoritma tersebut dapat digunakan untuk menyelesaikan permasalahan permutation flow shop untuk minimize makespan. Teknik penyelesaian dengan menggunakan algoritma tersebut menerapkan inisialisasi dengan variabel diskrit. Berdasarkan hasil pengujian yang telah dilakukan, harmony search algorithm efektif menghasilkan makespan yang lebih baik dari makespan yang terdapat pada benchmark data.
Analysis of the Effectiveness of E-Office Application Users of the Human Resources Bureau of the University of North Sumatra Mehta Gafari Lubis; Nazaruddin; Muhammad Anggia Muchtar
East Asian Journal of Multidisciplinary Research Vol. 2 No. 10 (2023): October 2023
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/eajmr.v2i10.6558

Abstract

Digitalization has the potential to improve services and connect people to numerous types of information. The University of North Sumatra (USU) in Indonesia also uses digitization through the Human Resources Bureau (HR) with the E-Office application. The purpose of this study is to examine the effectiveness and user satisfaction of the E-Office program in order to increase employee performance by examining the relationship between the two using the Technology Acceptance Model (TAM) theory. This study employs quantitative research techniques. This study collects data through non-probability sampling from primary and secondary sources. This study's data analysis methodologies include descriptive statistical analysis, partial least squares (PLS) statistics, hypothesis testing, and significance testing. The findings revealed that employee knowledge of how to use E-Office software had a substantial impact on enhancing operational efficiency.
CREDIT MANAGEMENT ANALYSIS TO PREDICT EARLY NON-PERFORMING LOANS AT PT. BANK NEGARA INDONESIA (PERSERO) TBK Hardiansyah; Nazaruddin; Muhammad Anggia Muchtar
International Journal of Educational Review, Law And Social Sciences (IJERLAS) Vol. 5 No. 4 (2025)
Publisher : CV. RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/ijerlas.v5i4.3615

Abstract

The purpose of this study is to improve credit quality in designing a customer loan default prediction system so that it can reduce the possibility of huge losses in banking in order to produce a model that has high accuracy and recall rate at PT. Bank Negara Indonesia (Persero) Tbk. The entire population in this study was sampled as many as 467 customers. Using the random forest method, the results obtained are: 1) descriptive analysis shows that the variables of customer credit history, payment ratio, age, collateral value, and affiliate balances influence the occurrence of bad debt, 2) the prediction model identifies patterns of customers at risk of bad debt, 3) the application of the credit model appropriately can reduce the level of bad debt.
Architectural design of an internet of things-based framework for road bike speed optimization Tigor Hamonangan Nasution; Opim Salim Sitompul; Fahmi Fahmi; Muhammad Anggia Muchtar
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 15, No 3: June 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v15.i3.pp2125-2140

Abstract

This research aims to develop an internet of things (IoT) system framework to predict cyclists’ optimal speed in road cycling using multisensor data and machine learning. The primary issue raised is the lack of an intelligent system capable of integrating physiological, performance, and environmental data in real-time speeds for cyclists. The designed framework consists of four functional layers: data acquisition layer; data processing and feature layer; predictive modeling layer; and recommendations and output layer. Modeling is carried out using gradient boosting regression (GBR), performed end-to-end with validation on real cyclist activity data. The test results demonstrate that the system can provide precise optimal speed estimates and offer pacing zone recommendations that positively impact athlete performance strategies. This research contributes novelty in the form of an adaptive multivariate prediction approach and a modular IoT architecture design that can be implemented on cloud and edge platforms.
ENHANCING COMMUNITY INCOME THROUGH THE PRODUCTION OF RED GINGER CANDY BASED ON LOCAL POTENTIAL AND DOWNSTREAMING STRATEGIES Yasmin Chairunisa Muchtar; Muhammad Anggia Muchtar; Jane Melita Keliat; Wina Nurfitriani; Juli Novita Sari; Lailan Syafrina Hasibuan
International Review of Practical Innovation, Technology and Green Energy (IRPITAGE) Vol. 6 No. 1 (2026): March-June 2026
Publisher : RADJA PUBLIKA

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Abstract

Desa Dalig Raya in Simalungun Regency possesses significant potential in red ginger commodities; however, its utilization remains limited to raw product sales, resulting in low economic value added. This study aims to enhance community income through innovation in processing red ginger into value-added ginger candy based on local potential. The research employs a Participatory Action Research (PAR) approach, involving stages of situation analysis, production training, and business management assistance. The results indicate that the innovation of red ginger candy products improves community skills, increases economic value added, and creates broader market opportunities in functional food products. Furthermore, the program strengthens community economic independence through downstreaming strategies and collaborative partnerships. Overall, this initiative contributes to improving community welfare by optimizing local resources and promoting sustainable rural economic development.
CUSTOMER JOURNEY MAPPING ANALYSIS TO IMPROVE CUSTOMER EXPERIENCE AND CUSTOMER SATISFACTION IN BANK BJB MEDAN BRANCH SERVICES Afifah Riadi Putri; Doli Muhammad Jafar Dalimunthe; Muhammad Anggia Muchtar
Journal Analytica Islamica Vol 14, No 2 (2025): ANALYTICA ISLAMICA
Publisher : Program Pascasarjana UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/jai.v14i2.27129

Abstract

This study aims to examine and analyze: (1) the effect of Customer Journey Mapping on Customer Experience, (2) the effect of Customer Experience on Customer Satisfaction, (3) the effect of Customer Journey Mapping on Customer Satisfaction, and (4) the indirect effect of Customer Journey Mapping through Customer Experience on Customer Satisfaction in the services of bank bjb Medan Branch. This research employs a quantitative approach with a survey method by distributing questionnaires to walk-in customers of bank bjb Medan Branch. The population in this study consists of 1,868 customers, and based on the Raosoft sample size formula, a total of 319 respondents were selected as the final sample. The data were analyzed using the Structural Equation Modeling (SEM) technique with the SmartPLS software. The results indicate that Customer Journey Mapping has a significant effect on both Customer Experience and Customer Satisfaction, either directly or indirectly through Customer Experience. These findings suggest that optimizing each stage of the customer journey can enhance both Customer Experience and satisfaction with the services of bank bjb Medan Branch.
ENHANCING COMMUNITY INCOME THROUGH GINGER CANDY PRODUCTION FROM RED GINGER IN DALIG RAYA VILLAGE Yasmin Chairunisa Muchtar; Muhammad Anggia Muchtar; Jane Melita Keliat3; Wina Nurfitriani; Ahmad Azmi
International Review of Practical Innovation, Technology and Green Energy (IRPITAGE) Vol. 5 No. 3 (2025): November 2025 - February 2026
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.19436408

Abstract

Dalig Raya Village in Simalungun Regency has great potential in red ginger plants. This plant has various health values ​​and benefits. However, the processing of this plant is still lacking, thus hampering its maximum utilization. By optimizing this potential, Dalig Raya Village can become a center for red ginger processing production that contributes to the local economy and improves community welfare, as well as introducing the health benefits of red ginger to the wider community. Therefore, the community service team conducted community service through the International Community Service Scheme in collaboration with UiTM Penang to carry out activities. The methods used to carry out community service include initial discussions with the community, conducting the production process, and training business management. The results of this community service created a red ginger candy product that acts as an anti-cancer, lowers blood sugar and cholesterol, strengthens the immune system, and helps ward off bacterial and viral infections while reducing arthritis symptoms. The PKM team also provided training on how to make ginger candy products. This activity not only provides knowledge but also has the potential to improve public health through the use of herbal plants.