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Contact Name
Jamaluddin
Contact Email
jamaluddin@methodist.ac.id
Phone
+6281397181985
Journal Mail Official
jamaluddin@methodist.ac.id
Editorial Address
Jl. Hang Tuah No. 8 Medan Sumatera Utara - Indonesia Kode Pos: 20152
Location
Kota medan,
Sumatera utara
INDONESIA
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi
ISSN : 25988565     EISSN : 26204339     DOI : 10.46880
Core Subject : Economy, Science,
Sistem Informasi Sistem Informasi Manajemen Sistem Informasi Akuntansi Manajemen Basis Data Pengembangan Aplikasi Web dan Mobile Sistem Pendukung Keputusan Desain Grafis dan Multimedia Audit Sistem Informasi Topik-topik lain yang Relevan dengan bidang ilmu Manajemen Informatika Topik-topik lain yang Relevan dengan bidang ilmu Kompuerisasi Akuntansi
Articles 350 Documents
PERANCANGAN WEBSITE DESA LUMBAN PEA TIMUR KECAMATAN BALIGE, KABUPATEN TOBA SEBAGAI MEDIA INFORMASI DAN E-COMMERCE Stevani Laura Zois Br. Simanjuntak; Marlyna Infryanty Hutapea; Eviyanti Novita Purba; Jamaluddin Jamaluddin
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 6 No. 2 (2022): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1724.912 KB) | DOI: 10.46880/jmika.Vol6No2.pp130-135

Abstract

Lumban Pea Timur Village is one of the villages in Balige District, Toba Regency, North Sumatra Province. In the current development of internet technology, the availability of fast, precise and accurate information is important and needed for Lumban Pea Timur village to distribute information to the village community. Most of the livelihoods of Lumban Pea Timur Village are in the agricultural, plantation and livestock sectors. So far, the sales process in Lumban Pea Timur Village is still done conventionally, this creates difficulties in marketing and promoting the community's business results. The purpose of this research is to help the village community to obtain the latest information in East Lumban Pea Village and assist the community in East Lumban Pea Village in selling their business results to consumers through the village website. The village website designed using the PHP programming language and MySQL database as its database and program testing using black box testing. With the design of the village website, it is hoped that it can help the village community to obtain information and introduce the results of the efforts of the people in the East Lumban Pea Village to the global market so that it can improve the economy in the East Lumban Pea Village, especially the village community.
ANALISA USER EXPERIENCE TERHADAP FITUR DI APLIKASI ZENIUS MENGGUNAKAN HEART FRAMEWORK Agdeka Cory Zarkasi; Anita Sari Wardani; Sucipto Sucipto
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 6 No. 2 (2022): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (384.786 KB) | DOI: 10.46880/jmika.Vol6No2.pp174-179

Abstract

Learning facilities in the current digital era have developed far, including the learning institution PT.Zona Edukasi Nusantara (Zenius) which has begun to adapt by launching an application for learning facilities called Zenius. Currently Zenius has become one of the edu tech in Indonesia that has a large number of active service users. To ensure the convenience of application users, it is necessary to measure User Experience to find out whether there is still need for improvement in its use. In this study, the HEART Framework is used as a framework for measuring the Zenius application using the questionnaire method. The results of this study indicate that there needs to be some improvements in various aspects such as redesign of the display by paying attention to aspects of user comfort and interface display, feature innovation, adding features and socializing features.
APLIKASI DISPOSISI SURAT DAN TELAAH STAF BERBASIS MOBILE (MOBILE LETTER) Herpendi Herpendi; Fathurrahmani Fathurrahmani; Khairul Anwar Hafizd
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 6 No. 2 (2022): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2021.27 KB) | DOI: 10.46880/jmika.Vol6No2.pp180-187

Abstract

In facing the challenges of digitalization that is growing so rapidly, the State of Polytechnic Tanah Laut (Politala) strives to continue to adapt these developments as needed. In carrying out their duties in the field of Tri Dharma and other supporting activities, lecturers must have a clear assignment basis, as well as for educational staff. The current assignment at Politala uses a sheet of disposition paper issued by the leadership. The disposition sheet is then submitted to the General and Personnel Section as the basis for making a Letter of Assignment for the Lecturer or Tendik concerned in carrying out activities. This is risky in terms of data storage and effectiveness to efficiency in the administration of correspondence. The development of technology in the field of software is currently a solution in conducting application-based correspondence administration to facilitate archiving and data security to be effective and efficient. This study aims to develop a mobile-based application to make it easier for leaders to dispose of incoming letters to their subordinates. The disposition will provide notification to the employee concerned and can be viewed directly through the application. In addition, with applications that are built, employees can submit staff reviews and can monitor the status of their submissions in real time. This research was conducted using the prototype method and collecting data using observation and interview methods to produce a Mobile Letter application.
CREATION OF QUESTIONNAIRE KEYWORDS WITH THE CISE METHOD FOR KMS USER SATISFACTION EVALUATION Teja Endra Eng Tju
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 6 No. 2 (2022): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (445.957 KB) | DOI: 10.46880/jmika.Vol6No2.pp124-129

Abstract

This study aims to obtain user satisfaction factors for a knowledge management system so that a questionnaire can be made for evaluation or measurement. The SECI method is used with the CISE sequence which consists of four knowledge creation steps, namely C-combination, I-nternalization, S-socialization, and ending E-externalization. The stage begins with literature studies and then modifications are made with the selection, addition, and incorporation of existing models. From understanding and analyzing several models, discussions or brainstorming with colleagues were then carried out so that a final model was obtained to compile a list of keywords and statements as a questionnaire based on indicators related to knowledge management and the satisfaction of knowledge management system users. The results obtained there are eight user satisfaction factors divided into technical aspects (knowledge quality, knowledge sharing, system quality, service quality) and social aspects (management support, system use, perceived usefulness, user attribute). Five attributes were obtained from each of these factors as keywords resulting in 40 questionnaire statements. It can be concluded that the factors of user satisfaction knowledge management system can be built from the satisfaction of information system users in general by adding distinctive factors including the creation, transfer, and documentation of knowledge.
SISTEM PERINGATAN DINI BANJIR BERBASIS MACHINE LEARNING: STUDI LITERATUR Agustina Rachmawardani; Sastra K. Wijaya; Ardhasena Shopaheluwakan
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 6 No. 2 (2022): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (948.942 KB) | DOI: 10.46880/jmika.Vol6No2.pp188-198

Abstract

Indonesia is a disaster-prone country and 76% is a hydrometeorological disaster (floods, landslides, tropical cyclones and droughts). Floods that occurred in Jakarta had a negative impact on the community so that it would have an impact on economic losses that made it difficult for communities around areas that were frequently affected by floods to develop more advanced and productively. Therefore, the inhibition of increasing welfare caused by floods that are not immediately handled can increase the number of people's poverty because they always have to spend both on house repairs, health and other things caused by floods. In addition, public facilities and various kinds of infrastructure were damaged. The environment is also negatively affected when floods occur. Clean water is difficult to obtain so it causes many diseases. Floods also cause animals to be killed, thereby disrupting the natural balance of the ecosystem. The existence of flood prediction research will reduce the risk and damage caused by flood disasters and can provide advice and considerations in policy making. Flood early warning system is one of the solutions offered in dealing with flood disasters. Providing actual and real time information, this early warning system is expected to reduce economic losses to fatalities. In an effort to create a resilient city, ESCAP (2008) puts an early warning system in place as an effort to prepare before a disaster occurs and to mitigate floods
ANALISIS NILAI MARKET JAMINAN PINJAMAN DENGAN METODE MOORA Gortap Lumbantoruan; Eviyanti Novita Purba
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 6 No. 2 (2022): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (518.397 KB) | DOI: 10.46880/jmika.Vol6No2.pp199-204

Abstract

Credit is the provision of loan money based on an agreement or loan agreement between the creditor and other parties. Credit is made after an agreement is reached between the bank or creditor and the debtor or credit recipient in which there are rights and obligations of each party. Usually banks or financial services are willing to provide loans if the debtor provides his assets as collateral or collateral to ensure the smooth running of his debt. The assessment of the guarantee or collateral must be carried out objectively and apply the precautionary principle. The estimated market value (market value) of the collateral must be based on real market data so as not to harm the creditor. To assist the lender in analyzing the market value of the collateral submitted by the debtor, the author uses the Multi-Objective Optimization On The Basis Of Ratio Analysis (MOORA) method by using several criteria including the status of documents/collateral letters, asset allocation, road conditions, locations and several other factors. From the results of the analysis using the MOORA method on the market value of the collateral submitted by the debtor, there is a difference with the market value circulating in the community. The results of this analysis can also be used as a reference in making a decision whether or not the object of the collateral submitted is appropriate to the amount of the loan being submitted. Keywords: Credit, Market Value, Collateral, MOORA.
ANALISIS SENTIMEN TWITTER TERHADAP WACANA PENUNDAAN PEMILU DENGAN METODE SUPPORT VECTOR MACHINE Darwis Robinson Manalu; Mario Christofell L. Tobing; Margaretha Yohanna
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 6 No. 2 (2022): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (659.108 KB) | DOI: 10.46880/jmika.Vol6No2.pp149-156

Abstract

Machine learning plays an important role in managing important issues to classify and predict information that develops ahead of the General Election in Indonesia. Especially in knowing public sentiment on the discourse on the postponement of the 2024 election through Twitter social media. So it is necessary to analyze the discourse by categorizing it as positive or negative. The Support Vector Machine (SVM) model is used for analysis and classification. The sample data used were 100 tweets data which were then scraped in the period January 2022 – May 2022. The processing was done using Python programming and Jupyter Lab tools. Before doing the analysis, do preprocess to eliminate unnecessary words and information so that the level of accuracy of the results of this Twitter sentiment classification can provide a closer picture of reality. As for the results of the grouping carried out positive sentiment in as many as 40 data tweets and negative sentiment in as many as 60 data tweets. The classification test results on tweets data with a good level of accuracy of 92%. These results are expected to be a reference for future researchers who want to improve accuracy or analysis results.
SIMULASI MONTE CARLO DALAM MEMPREDIKSI PEMAKAIAN OBAT PENYAKIT GIGI DAN MULUT PADA RUMAH SAKIT Resianta Perangin-angin; Ika Yusnita Sari; Elvika Rahmi; Roni Jhonson Simamora
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 6 No. 2 (2022): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (354.28 KB) | DOI: 10.46880/jmika.Vol6No2.pp239-243

Abstract

The use of drugs in patients with dental disease is a necessity that needs to be considered by the hospital in providing medical services to patients. Adequate and well-managed drug supply prevents shortages or excess drug stocks. So it needs good planning in managing and monitoring drug stocks appropriately. This study aims to make predictions in the use of dental disease drugs by using a monte carlo simulation. The data used is data on the use of drugs for dental diseases from 2020 to 2022. The data on drug use processed were 12 types of drugs. The data will be processed based on the Monte Carlo simulation stages. The results of using the Monte Carlo Simulation are to obtain predictions of the use of dental disease drugs with an accuracy value reaching 89.14%. Based on the accuracy value obtained, the Monte Carlo simulation can be used to predict drug use in the future. So that the supply of dental disease medicine is maintained.
PENERAPAN METODE DECISION TREE C4.5 DALAM MEMPREDIKSI KELANCARAN PEMBAYARAN KREDIT DI BPR WAHANA BERSAMA KPUM Nine Situmeang; Indra Kelana Jaya; Margaretha Yohanna
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 6 No. 2 (2022): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (850.215 KB) | DOI: 10.46880/jmika.Vol6No2.pp215-220

Abstract

BPR Wahana Bersama KPUM is a lending company. Delay in credit payments is a problem that occurs in credit companies. Customers who don't pay on time can have a bad impact on their credit history. To assess customer profitability, a system is needed that can predict the smoothness of future credit payments in order to assess whether customers are profitable or not. The author uses the Decision Tree C4.5 method in which the method looks for similarities between classes or groups in the data. In this study, the data used is customer data, with training data from 2017-2020 and testing data from 2021. The existence of this system can help BPR Wahana Bersama KPUM in predicting the smoothness of credit payments in the future so that there will be no credit payment jams by customers. , this is proven by the acquisition of the accuracy value using the confusion matrix model reaching 84.18%.
PEMANFAATAN JARINGAN LORA UNTUK MONITORING KENDARAAN OPERASIONAL PADA INSTALASI PENELITIAN DAN PENGKAJIAN TEKNOLOGI PERTANIAN (IP2TP) KEBUN PERCOBAAN PASAR MIRING BPTP SUMATRA UTARA Ben My Cardo Simanjuntuk; Fati Gratianus Nafiri Larosa; Asaziduhu Gea
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 6 No. 2 (2022): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (665.334 KB) | DOI: 10.46880/jmika.Vol6No2.pp221-225

Abstract

Balai Pengkajian Teknologi Pertanian (BPTP) North Sumatera has an experimental garden "Pasar Miring" that is useful for academic activities, both practicum and research, installation of VUB (Varitas Unggul Baru) rice seed propagation for specific location, assessment and agricultural development. Currently official vehicles operating are 3 units, and the experimental garden area is approximately 15 hectares. Thus the administrator has difficulty knowing the position of the official vehicle during working hours due to the absence of technology that can be used by the office. So to find out the position of the official vehicle when operating, and for vehicle safety from criminal acts and also to avoid misuse of official vehicles. The propose of this paper is a monitoring system for official vehicle by using a desktop application and using Lora (Long Range) Frequency. Lora RFM95 transmitter is placed on the official vehicle and the Lora RFM95 Receiver will be set on the laptop. Lora can send the location of the official vehicle to the desktop application by Internet of Things (IoT) concept via the internet network.

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