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All Journal METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Jurnal Teknik Informatika UNIKA Santo Thomas Jurnal ULTIMA InfoSys METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi Journal of Applied Science, Engineering, Technology, and Education MEANS (Media Informasi Analisa dan Sistem) Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Jurnal Pengabdian Pada Masyarakat METHABDI Majalah Ilmiah METHODA
Darwis Robinson Manalu
LP3M UNIVERSITAS METHODIST INDONESIA
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Journal : METHOMIKA: Jurnal Manajemen Informatika

 1 
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.
KLASIFIKASI PENYAKIT BAWANG MERAH MELALUI CITRA DAUN DENGAN METODE K-MEANS Darwis Robinson Manalu; Jeremia Sebayang; Harlen Gilbert Manullang
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 7 No. 1 (2023): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol7No1.pp150-157

Abstract

Shallot production is threatened by a number of diseases resulting in quite large losses and causing a decrease in shallot quality. One of the main diseases that attack shallots is purple spot disease and another common disease on shallots is lanas. Therefore it is necessary to classify the diseases of shallots in order to know the type of disease that attacks shallots. Shallot disease can be seen from the shape of the leaves and the texture of the leaves is the most appropriate feature used in the identification of shallot disease. However, the various forms of shallots are not easy for humans to detect, especially for ordinary farming communities. Therefore, technology can help detect shallot disease through leaf texture with the K-Means method using matlab. Based on the results of the identification test with test data as many as 20 images managed to get an accuracy value of 80%, where this accuracy value can be said to be good
EVALUASI TATA KELOLA TEKNOLOGI INFORMASI PADA PERUSAHAAN MENGGUNAKAN FRAMEWORK COBIT : Studi Kasus: PT. Telkom Gaharu Medan-Divisi Data Management Silalahi, Arina Prima; Jaya, Indra Kelana; Sartika, Dewi; Manalu, Darwis R.; Larosa, Fati G. N.
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 8 No. 1 (2024): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol8No1.pp9-19

Abstract

Teknologi informasi memegang peranan penting dalam sebuah perusahaan atau instansi lainnya, namun untuk melihat kesesuaian teknologi dengan kebutuhan perusahaan diperlukan evaluasi tata kelola teknologi informasi. Pada penelitian yang dilakukan, fokus evaluasi meliputi divisi Data Management PT Telkom Gaharu dengan menggunakan kerangka kerja COBIT 2019 dengan domain EDM04 (Ensure Resources Optimization), MEA01 (Managed Performance and Conformance Monitoring) dan DSS03 (Managed Problems) yang berfokus pada sistem informasi yaitu Unified Inventory Management. Penelitian ini menggunakan teknik pengumpulan data studi literatur, observasi, wawancara dan kuesioner yang dikelola menggunakan pengukuran skala Guttman dengan bantuan perhitungan Microsoft Excel. Evaluasi yang dilakukan berfokus pada nilai Capability Level dan Gap Analysis yang disajikan dalam bentuk Tabel dan Grafik Radar. Nilai Capability Level dari domain EDM04 sebesar 92% (Fully Achieved) dengan Gap Analysis 0.97 maka dapat dikatakan bahwa proses tata kelola teknologi informasi untuk domain EDM04 sepenuhnya sudah tercapai. Nilai Capability Level domain MEA01 sebesar 94% (Fully Achieved) dengan Gap Analysis 1.33 maka dapat dikatakan bahwa proses tata kelola teknologi informasi untuk domain MEA01 sepenuhnya sudah tercapai. Nilai Capability Level domain DSS03 sebesar 81% (Largely Achieved) dengan Gap Analysis 0.25 maka dapat dikatakan bahwa proses tata kelola teknologi informasi untuk domain DSS03 sepenuhnya sudah tercapai.
PREDIKSI HARGA KELAPA SAWIT MENGGUNAKAN METODE REGRESI LINEAR BERGANDA: Studi Kasus PT. Bakrie Sumatera Plantations, Tbk. Eliza, Agnes Lasmaria; Manalu, Darwis Robinson; Yohanna, Margaretha
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 8 No. 1 (2024): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol8No1.pp89-95

Abstract

Indonesia's plantation sector, especially palm oil, has a high selling value and its attractiveness continues to increase. The price of palm oil is strongly influenced by external factors, especially the price of crude oil (CPO) and palm oil production globally. Unstable price fluctuations have become a challenge for companies such as PT Bakrie Sumatera Plantations, Tbk. in planning harvest time and optimizing profits. To overcome this uncertainty, this study proposes the use of the Multiple Linear Regression method to predict palm oil prices. Price and production data from 2021 to 2023 are the main basis for developing the prediction model. In this study, 4 independent variables were used, namely year, month, oil price and total production. The amount of data used in this study is 33 data. In testing the Multiple Linear Regression method has an RMSE value of 0.24 and the predicted value of palm oil prices from January to December 2024 is the price of palm oil with the highest value in January 2024 of Rp. 2,276.931 / kg and with the lowest value in December 2024 of Rp. 1,474.75 / kg.
The Urgency of Technology And Information Technology (ICT) Development in Realizing The Transformation of Advanced Nias Regency in The Era of Civil Society 5.0 and Industrial Revolution 4.0 Ndraha, Ayler Beniah; Waruwu, Eliyunus; Lase, Delipiter; Laia, Ofelius; Manalu, Darwis Robinson; Telaumbanua, Elisati Kurniawan; Zega, Asokhiwa
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 9 No. 1 (2025): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol9No1.pp160-168

Abstract

Research This research discusses the significant impact of e-government implementation in improving efficiency of public administration and community participation in the era of digital disruption. digital disruption era. The focus is on analyzing the development and challenges of integrating information technology integration in governance to create transparent and accountable public services. transparent and accountable public services. This research aims to analyze the influence and benefits of e-government implementation in improving government efficiency, public service transparency, and participation. Government efficiency, public service transparency, and public participation in Indonesia, as well as identifying the barriers and challenges of e-government implementation. Participation in Indonesia, as well as identifying barriers and challenges faced in its implementation. in its implementation. This research uses a comprehensive literature review method method to integrate various perspectives and empirical findings. This approach includes topic exploration, collection of relevant literature, and analysis and synthesis of data to answer the research questions. In addition, SWOT analysis was used to evaluate the condition of e-government in Nias Regency and develop improvement strategies that include Nias Regency and develop improvement strategies that include strengthening strengths, utilizing opportunities, reducing weaknesses, and addressing threats. The research This research shows that the implementation of information and communication technology (ICT) in Nias Regency is still at the maturation stage, with strong local government commitment but faced with commitment but faced with challenges of geography, limited infrastructure and infrastructure, and human resource competencies. SWOT analysis identified potential development potential and opportunities, as well as threats and weaknesses that need to be addressed through collaboration with various stakeholders. through collaboration with various stakeholders. Improving ICT in Nias Regency requires an integrated strategy that includes developing infrastructure, improving human resource competencies, and collaboration with the private sector, to realize the transformation of Nias Regency towards an effective and efficient e-government. effective and efficient e-government.
Co-Authors Adam Jordie Sinulingga Ari Kartanto Sinuhaji Aritonang, Mendarissan Asokhiwa Zega Ayler Beniah Ndraha Cosmas Tambunan DEWI SARTIKA Doli Hasibuan Dwiyanto . Dyah Faramida Octaviani Lubis Edward Rajagukguk Eka Samuel P. Hutasoit ELIYUNUS WARUWU Eliza, Agnes Lasmaria Fati Gratianus Nafiri Larosa Feruche, Melani Gea, Asaziduhu Gortap Lumbantoruan Gresa Simarmata Guellica Agnesia Claudia Thanos Harianja, Eva Julia G. Harlen Gilbert Manullang Harlen Gilbert Simanullang Harlen Gilbert Simanullang Hasibuan, Doli Humuntal Rumapea Hutapea, Marlyna I. Hutasoit, Eka Samuel P Indra Kelana Jaya Indra M. Sarkis S. Intan Nurrachmi Jamaluddin Jamaluddin Jamaluddin Jeremia Sebayang Jhoni Maslan Jhoni Maslan, Jhoni Jimmy F. Naibaho Larosa, Fati G. N. Lase, Delipiter Lumbanraja, Posma Margaretha Yohanna Mario Christofell L. Tobing Marzuki, Sinambela Melani Feruche Merry Anna Napitupulu, Merry Anna Mufria J. Purba Nainggolan, Rena Ndruru, Yufita Friska Nettina Samosir Ofelius Laia Perangin-angin , Resianta Posma Lumbanraja Prawita Simarmata Purba, Eviyanti N. Putra Palipi Resianta Perangin-Angin Rijois I. E. Saragih Rimbun Siringoringo, Rimbun Robbi Rahim Rumahorbo, Benget Rumapea, Anastasia Erika Rumapea, Yolanda Y. P. rumapea, yolanda yulianti pratiwi Rumapea, Yolanda Yuliati Pratiwi Samuel Manurung Sarkis, Indra M. Silaban, Cristina Adelia Putri Silalahi, Arina Prima Simanullang, Sanco Sitorus, Betti Elvi Deliana Sri Agustina Rumapea Sunardi Sunardi Surianto Sitepu Syamsu Rijal Telaumbanua, Elisati Kurniawan Toong Hai Sam Yohanna, Margaretha Yolanda Y.P Rumapea yolanda yulianti pratiwi rumapea Yuaniko Paramitra