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All Journal Diponegoro Journal of Management Pendas : Jurnah Ilmiah Pendidikan Dasar Jurnal Review Pendidikan dan Pengajaran (JRPP) BRITech : Jurnal Ilmiah Ilmu Komputer, Sains dan Teknologi Terapan Infotech: Journal of Technology Information Siwayang Journal: Publikasi Ilmiah Bidang Pariwisata, Kebudayaan, dan Antropologi Journal of Artificial Intelligence and Digital Business Innotech Journal of Informatics and Advanced Computing ENCRYPTION: Journal of Information And Technology JURNAL ILMIAH SATYA NEGARA INDONESIA
Michael Sitorus, Michael
Jurusan Manajemen Fakultas Ekonomika dan Bisnis Universitas Diponegoro
Religion Arts Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences Other

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Categorizing Data Quality Issues To Risk Level on Medicine and Food Inspector fitria, Fitria; Sitorus, Michael
BRITech, Jurnal Ilmiah Ilmu Komputer, Sains dan Teknologi Terapan Vol 1 No 1 (2019): Periode Juli
Publisher : Institute Teknologi dan Bisnis Bank Rakyat Indonesia

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Abstract

Nowadays, data quality is important for every organization who need high quality of information for their business process. In the data flow of organization, every second has possibilities to occur data quality issues. Organization has to assess what the causes, impact of issues, and how to mitigate. In this paper, will describe and guide the organization to classify data quality issues to risk level. Its to make priority mitigate easier for management decision making especially on medicine and food inspector
Strategi Pembelajaran Dengan Contextual Teaching And Learning (Ctl) Pada Pelajaran Menggambar Konstruksi Di Sekolah Menegah Kejuruan (Smk) Sitorus, Michael; fitria, Fitria
BRITech, Jurnal Ilmiah Ilmu Komputer, Sains dan Teknologi Terapan Vol 1 No 1 (2019): Periode Juli
Publisher : Institute Teknologi dan Bisnis Bank Rakyat Indonesia

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Abstract

Facilities for students' activities in actively developing their competencies are very difficult to find and implement their ideas, and moreover to be aware in applying their strategies, so students do not have the life skills as independent people. This type of research is actions that occur in class using the Contextual Teaching and Learning (CTL) method. The purpose of this study is to explore the benefits of the Contextual Teaching and Learning (CTL) method in improving learning outcomes in drawing construction in SMK. Data collection techniques carried out through interviews, documentation, and observation methods. Analysis of the data to be used in this research is descriptive percentages. The results of the study concluded that the learning strategy with the Contextual Teaching and Learning (CTL) method can improve student learning outcomes. Based on the results of the first cycle-assessment on the initial ability task with an average value of 33.15 and the first cycle assignment with an average of 40.21 then an increase in the second cycle with an average of 80.36. The Contextual Teaching and Learning (CTL) method can be used as an alternative method of learning in class so that learning activities can run more effectively in construction drawing lessons and can improve student learning outcomes.
ANALISIS PENGARUH ROE, ROA, EPS, DPS, DOL, DAN DFL TERHADAP MARKET VALUE ADDED PADA INDUSTRI MANUFAKTUR DI BEI TAHUN 2011-2014 Sitorus, Michael; Demi Pangestuti, Irene Rini
Diponegoro Journal of Management Volume 5, Nomor 3, Tahun 2016
Publisher : Faculty of Economics and Business Diponegoro University

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Abstract

This Research aimed to analyze the influence of Return on Equity, Return on Assets, Earnings Per Share, Dividend Per Share, Degree Of Operating Leverage and Degree Of Financial Leverage to Market Value Added. Case study on manufacture company in Indonesia Stock Exchange during the period 2011- 2014 Research population used manufacture company in Indonesia Stock Exchange during period 2011-2014. By using purposive sampling method obtained a sample of 19 companies. Company data used in this study was obtained from the Indonesian Capital Market Directory for 2010-2014 and www.idx.com. The analysis technique used is Ordinary Least Squares Regression (OLS). The results showed only a Dividend Per Share (DPS) which has positive and significant against Market Value Added, while ROE, ROA, EPS, DOL, and DFL does not affect the Market Value Added.
PERANCANGAN SISTEM PEMILIHAN KETUA BEM (BADAN EKSEKUTIF MAHASISWA) BERBASIS E-VOTING DENGAN METODE CRUD SEBAGAI DIGITALISASI ORGANISASI DI BRI INSTITUTE Sitorus, Michael; Antonieta DC, Cornelia
Infotech: Journal of Technology Information Vol 7, No 2 (2021): NOVEMBER
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v7i2.122

Abstract

Entering the digital era and the rapid development of technology, the existence of technology is now increasingly advanced and affordable to make it easier for humans to carry out various activities. Now humans can be helped well in carrying out various activities such as selecting the Chairperson of the Student Executive Board (BEM) using e-voting. The problem in this research is that the election of the head of the BEM still uses a simple information delivery medium, namely in the form of sheets of paper for sending the vision and mission and also for selecting candidates. This of course becomes less than optimal and less efficient, especially in the Covid-19 pandemic situation which requires 98 percent of universities to implement distance learning. The purpose of this research is to create an E-Voting-Based BEM Chair Election system using the PHP programming language and MySql database. The method used is Create, Read, Update, Delete (CRUD). As a result, this system will help universities to realize organizational digitization, especially at BRI Institute as a technology and business-based university.
Implementation of K-Means Algorithm with Clustering Method to Data Management of Covid-19 Case in West Bandung Using Orange Application Sitorus, Michael; Indah Purnamasari, Windi; Ebenhaezer Gurning, Benyamin; Ahada, Roby
ENCRYPTION: Journal of Information And Technology Vol. 1 No. 2 (2023): ENCRYPTION: Journal of Information And Technology, January 2023
Publisher : ASIAN PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58738/encryption.v1i2.385

Abstract

Covid-19 cases in Indonesia have not disappeared to the until now. Coronavirus has spread to almost all provinces in Indonesia, one of the province is West Java. There are 27 regencies/cities in West Java that have become the spread of the Covid-19 case, one of which is West Bandung Regency. To make it easier for the regional government of West Bandung Regency to take action in an effort to prevent the spread of Covid-19, research is needed to determine the level of distribution of Covid-19 cases which are divided into 3 clusters, namely high, medium and low clusters. Researchers analyzed using the data mining method with the K-Means Clustering algorithm through the Orange Application. Data processing is started from determining amount of the data to be clustered into 3 high, medium and low, then determining the initial centroid cluster center point (iteration 1) that has been determined randomly, then calculating the distance of each data to the center of the cluster between objects to closest centroid. The distribution of cluster 1, cluster 2, and cluster 3 as many as 16 data in the K-Means Clustering process using the Orange Application. The research results show that there are 8 sub-districts for high clusters, 2 sub-districts for medium clusters and 6 sub-districts for low clusters in West Bandung Regency.
Data Mining Implementasi Algoritma K-Means Menggunakan Aplikasi Orange dalam Clustering Pencemaran Udara di DKI Jakarta Tahun 2021 Sitorus, Michael; Depriansa Fitron; Carolus Agung Segara Wisesa
Journal of Informatics and Advanced Computing (JIAC) Vol 3 No 2 (2022): Journal of Informatics and Advanced Computing (JIAC)
Publisher : Universitas Pancasila

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35814/jiac.v3i2.4662

Abstract

Udara yang bersih merupakan kebutuhan yang tidak hanya perlu dipenuhi manusia, tetapi juga hewan dan tumbuhan. Kualitas udara menjadi penting untuk kehidupan kita agar bisa terhindar dari berbagai penyakit kesehatan. Maka dari itu, diterapkanlah ilmu dari data mining dengan metode k-means clustering dengan perangkat lunak Orange untuk bisa mengelompokkan kategori dari kualitas udara yang berada di DKI Jakarta yang meliputi kualitas udara baik, sedang, dan tidak sehat. Dengan menggunakan data yang diperoleh dari Indeks Standar Pencemaran Udara (ISPU) dari Dinas Lingkungan Hidup Provinsi DKI Jakarta tahun 2021, didapat hasil bahwa cluster 0 atau kategori kualitas udara sedang sebanyak 153 item dan cluster 1 atau udara tidak sehat sebanyak 212 item. Tingkat akurasi dari implementasi Cluster K-Means untuk menentukan kualitas udara di DKI Jakarta adalah 0,9622 atau 96,22%. Dengan hasil berikut maka diharapkan pula kepada masyarakat untuk bisa mengurangi pemakaian kendaraan bermotor yang dapat menyebabkan pencemaran udara di DKI Jakarta.
MAMACARE: Aplikasi Mobile Pendukung Ibu Hamil dan Ibu Baru Berbasis Komunitas dan Layanan Kesehatan Digital Sitorus, Michael; Aini Melati, Zuhda; Hasanah, Zahra Nisatul; Anggun Herdilanggiva, Nabila
Innotech: Jurnal Ilmu Komputer, Sistem Informasi dan Teknologi Informasi Vol 2 No 2 (2025): Innotech Issue Juli 2025
Publisher : Universitas Siber Indonesia

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Abstract

Maternal and newborn health is a critical factor in improving human resource quality in Indonesia, yet maternal and infant mortality rates remain significant challenges. Limitations in access to information, healthcare services, and social support affect the well-being of mothers during pregnancy and postpartum. MamaCare is a community-based mobile application integrating health education, online medical consultation, and community forums into a single platform. This application is designed to provide comprehensive support, enhance health literacy, and strengthen social networks for pregnant women and new mothers. Therefore, MamaCare is expected to contribute to reducing maternal and infant mortality rates and improving maternal and child healthcare quality in the digital era. This paper discusses the background, objectives, main features, and advantages of MamaCare as an innovative support solution for pregnant and new mothers.
ANALISIS TINGKAT PEMAHAMAN SOSIAL SISWA KELAS III SD SWASTA HKBP 2 SIDORAME MEDAN DALAM PEMBELAJARAN IPS Sofia , Gisela Agita; Hasibuan, Siti Hawaliah; Tambunan, Driana Stefani; Putri, Denny Hairunisia; Sitorus, Michael; Khairunnisa, Khairunnisa
Jurnal Review Pendidikan dan Pengajaran Vol. 8 No. 3 (2025): Volume 8 No. 3 Tahun 2025
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jrpp.v8i3.51082

Abstract

Penelitian ini bertujuan untuk menganalisis tingkat pemahaman sosial siswa kelas tiga SD PRIVATE HKBP 2 Sidorame Medan dalam konteks pembelajaran IPS. IPS merupakan mata pelajaran penting dalam pendidikan dasar yang mempersiapkan siswa untuk berpartisipasi aktif dalam masyarakat dengan memahami nilai, norma, dan interaksi sosial. Data dikumpulkan melalui observasi untuk mengukur pemahaman siswa terhadap konsep sosial dan perilaku sosial mereka di kelas menggunakan metode deskriptif kuantitatif. Temuan penelitian menunjukkan bahwa mayoritas siswa memiliki pemahaman yang baik tentang konsep sosial seperti kerja sama, rasa hormat, dan interaksi sosial. Namun, beberapa siswa masih menunjukkan keengganan untuk bersosialisasi dengan teman sebayanya, seringkali karena rasa malu dan kurang percaya diri. Hal ini juga terlihat pada sesi tanya jawab, di mana hanya sedikit siswa yang merespons dengan cepat, menunjukkan bahwa keterampilan sosial dan pengembangan kepercayaan diri memerlukan perhatian lebih lanjut. Kesimpulannya, meskipun siswa menunjukkan pemahaman kognitif yang memadai terhadap materi IPS, aspek afektif dan sosial perlu diperkuat untuk memastikan penerapan pengetahuan sosial yang efektif dalam kehidupan sehari-hari. Penelitian ini memberikan kontribusi pada bidang pendidikan dengan menyoroti pentingnya mengintegrasikan pengembangan keterampilan sosial ke dalam pengajaran ilmu sosial, sehingga tidak hanya menumbuhkan pengetahuan tetapi juga perilaku sosial yang positif dan pembentukan karakter pada siswa sekolah dasar.
DESIGN OF AN EXPERT SYSTEM FOR IDENTIFICATION OF SHALLOT DISEASES USING BAYES THEOREM METHOD Sitorus, Michael
Jurnal Ilmiah Universitas Satya Negara Indonesia Vol. 2 No. 1 (2023): November 2023 - April 2024
Publisher : Lembaga Penelitian, Publikasi, & Pengabdian kepada Masyarakat, Universitas Satya Negara Indonesia (LP3M-USNI)

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Abstract

Disease is one of the risks that must be experienced by onion farmers. Disease on the red onion gives a lot of harm to farmers. Therefore it is very necessary tool to diagnose onion disease. Systematics is a good way to deal with this problem. The developed application is an expert system used to diagnose onion disease using Bayes Theorem Method. Data on onion diseases can be from the Agricultural Extension Agency located in Suko Village, Maron District, Probolinggo District. Diagnosis can be done by choosing the symptoms that are already available. Each symptom has a density to the disease which is then calculated using the calculation method. This program is created using C# (C-Sharp) language in Microsoft Visual Studio 2008 with MySQL software database. The disease-resistant application is fast and can deliver results. Results of disease diagnosis. Dental disease, treatment, countermeasures and level of trust are the computations of the Bayes Theorem Method.
Driver Predicting Behavior Based on Accelerometer and Gyroscope Sensors with K-Means Algorithm Method Sitorus, Michael; Melisa, Melisa; Herninda, Desty
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 2 No. 1 (2023)
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v2i1.29

Abstract

The transportation with an increasing population level in Indonesia will also affect the smoothness of traffic. However, with the existence of transportation that is owned by someone, it is often misused in driving. Aggressive driving behavior is a major factor in traffic accidents. As reported AAA Foundation for Traffic Safety, 106,727 dangerous accidents – 55.7 percent of the over past four year period involved drivers engaging in one or more acts of aggressive driving. Therefore, to predict driver behavior, the K-Means algorithm used the Orange Application. Using the driver behavior dataset that has been recorded with Accelerometer and Gyroscope Sensor-based applications, the results obtained where the k value is the number of cluster 1 there are 814 items, cluster 2 has 997 items, cluster 3 has 1273 items. From this test, it was found that proportion of predicted driver behavior with Aggressive qualifications was 96.4%, Normal was 92.2% and from driver behavior with Low qualifications was 74.3%. The accuracy rate of research using the K-Means algorithm to determine predictions is 0.861 or 86.1%. The results of predictions can help prevent accidents or other risks that will occur in the future.  
Co-Authors Ahada, Roby Aini Melati, Zuhda Anggun Herdilanggiva, Nabila Antonieta DC, Cornelia Carolus Agung Segara Wisesa Depriansa Fitron Ebenhaezer Gurning, Benyamin Fadhillah, Marshela Hasna Fadila Syahda, Qori Fadillah Murti, M. David Fitria Fitria Fitria Hasanah, Zahra Nisatul Hasibuan, Siti Hawaliah Herninda, Desty Indah Purnamasari, Windi Irene Rini Demi Pangestuti Izumi Amalia, Chalvina Khairunnisa Khairunnisa Mawarni, Sri Endah Melisa Melisa Misbah Putri, Denny Hairunisia Satrio Wibowo, Ryan Rafif Sofia , Gisela Agita Tambunan, Driana Stefani Yudha Utama, M. Astamar zahirah, zalfa dhia