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Pengaruh Corporate Social Responsibility Terhadap Price Book Value dengan Return On Asset sebagai Variabel Moderating pada Perusahaan Properti yang Terdaftar di BEI Monang Juanda Tua Sihombing
JURNAL MAHAJANA INFORMASI Vol 5 No 1 (2020): JURNAL MAHAJANA INFORMASI
Publisher : Universitas Sari Mutiara Indonesia Medan

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Abstract

Penelitian ini bertujuan untuk mengetahui dan menganalisis Pengaruh Corporate Social Responsibility (CSR) Terhadap Price Book Value (PBV) dengan Return On Asset (ROA) sebagai Variabel Moderating pada Perusahaan Properti yang Terdaftar di BEI. Objek penelitian ini adalah seluruh perusahaan properti yang terdaftar di BEI. Data diolah dengan menggunakan metode uji Kaiser-Meyer-Olkin (KMO) dan Metode analisis yang digunakan adalah Analisis Regresi Linier Berganda. Hasil penelitian ini membuktikan bahwa CSR secara simultan tidak berpengaruh signifikan terhadap PBV. secara parsial CSR berpengaruh negatif dan tidak signifikan terhadap PBV. Hasil pengujian variabel moderating dapat disimpulkan bahwa CSR tidak mampu memoderasi hubungan antara PBV terhadap ROA
Penerapan Algoritma Apriori Untuk Memprediksi Tingkat Kelulusan Mahasiswa (Studi Kasus: Program Studi Manajemen Informatika dan Komputerisasi Akuntansi Universitas Imelda Medan) Panjaitan, Muhammad Iqbal; Rajagukguk, Denni M; Manalu, Mamed Rofendi; Karo-karo, Siddik; Sihombing, Monang Juanda Tua
Jurnal Multimedia dan Teknologi Informasi (Jatilima) Vol. 5 No. 02 (2023): Jurnal Multimedia dan Teknologi Informasi (Jatilima)
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jatilima.v5i02.468

Abstract

Forecasting is an estimate or prediction regarding the occurrence of an event or events in the future or is a study of historical data to find systematic relationships, trends and patterns. This research discusses how to predict or forecast student graduation rates. By utilizing student master data and student graduation data, it is hoped that we can produce information about graduation rates using student master data through Forecasting techniques. The graduation rate category is measured by length of study and GPA. The algorithm used is an a priori algorithm, the information displayed is in the form of support and confidence values ​​for each graduation level category.
APPLICATION OF THE A* METHOD IN MAKING COURSE SCHEDULING DECISIONS AT STMIK MULIA DARMA Panjaitan, Muhammad Iqbal; Rajagukguk, Denni M; Manalu, Mamed Rofendi; Sihombing, Monang Juanda Tua; Siregar, Kristian
Jurnal Multimedia dan Teknologi Informasi (Jatilima) Vol. 6 No. 02 (2024): Jatilima : Jurnal Multimedia Dan Teknologi Informasi
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jatilima.v6i02.705

Abstract

One of the biggest issues in managing higher education is course scheduling, where a variety of criteria need to be taken into account in a balanced way, including lecturer availability, classroom size, and student preferences. This procedure can be greatly optimized by using the A* method, also referred to as the optimal path finding algorithm. Applying the A* technique to course scheduling decisions is the goal of this research, which attempts to improve efficiency and happiness for all stakeholders.A customized A* algorithm is designed and implemented as part of the research process to manage scheduling characteristics such lecturer schedule compatibility, space allocation, and time slots. We tested this technique on scheduling data from an Indonesian university. The results of the tests indicate that the A* approach can yield a more optimal.
Pengaruh Return on Equity (ROE), Current Ratio (CR), Debt to Assets Ratio (DAR) dan Return on Assets (ROA) Terhadap Return Saham Dengan Harga Saham Sebagai Variabel Moderating Pada Perusahaan Consumer Goods Yang Terdaftar Di Bursa Efek Indonesia Sihombing, Monang Juanda Tua
Jurnal Mahajana Informasi Vol 8 No 1 (2023): JURNAL MAHAJANA INFORMASI
Publisher : Universitas Sari Mutiara Indonesia Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51544/jurnalmi.v8i1.4082

Abstract

The  objective  of  the  research  was  to  find  out  and  to  analyze  the influence of Return on Equity, Current Ratio, Debt to Assets Ratio, and Return on Assets simultaneously and partially on Stock Return with Stock  Price  as  moderating  variable  in  146  consumer goods  companies listed in the Indonesia Stock Exchange, and 87 of them were used as the samples. The data were processed by using Kaiser-Meyer-Olkin (KMO) test and analyzed by using multiple linear regression analysis. The result of the research showed that Return on Equity,  Current  Ratio, Debt  to  Assets  Ratio,  and  Return  on  Assets simultaneously had  significant  influence on  Stock Return.  Partially, Return on Equity had positive but insignificant influence on Stock Return, Debt to Assets Ratio had negative and insignificant influence on Stock Return, Current Ratio had negative but significant influence on Stock Return, and Return of Assets had positive but significant influence on Stock Return. From the result of the test on moderating variable, it was concluded that Stock Price was not able to moderate the correlation  of  Return  on  Equity,  Current  Ratio,  Debt  to  Assets Ratio, and Return on Assets with Stock Return.
Optimizing Fixed Asset Management through Information System at BPJS Ketenagakerjaan Belawan Medan Branch Zebua, Heppi Ratnawati; Khairunnisa, Khairunnisa; Sihombing, Monang Juanda Tua
Jurnal Komputer Indonesia (Ju-Komi) Vol. 1 No. 01 (2022): Jurnal Komputer Indonesia (JU-KOMI), October 2022
Publisher : SEAN Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58471/ju-komi.v1i01.329

Abstract

This research aims to enhance the efficiency of fixed asset management at BPJS Ketenagakerjaan Belawan Medan Branch through the implementation of a Fixed Asset Information System. The primary focus involves system requirement analysis, database design, and application development to optimize the maintenance and management of the organization's fixed assets. Data is obtained through interviews with relevant staff, observation of current processes, and analysis of internal documents. The research methodology encompasses the development of a system that can effectively monitor, record, and report information related to fixed assets. It is anticipated that the implementation of this system will improve the accuracy of asset tracking, reduce the potential for data loss, and provide a better understanding of the condition and utilization of fixed assets, thereby supporting more informed decision-making at the BPJS Ketenagakerjaan Belawan Medan Branch level.
Penerapan Algoritma Genetika Pada Optimasi Penjadwalan Matakuliah Pada Perguruan Tinggi STMIK Mulia Darma Sihombing, Monang Juanda Tua; M.Rajagukguk, Denni; Panjaitan, Muhammad Iqbal; Manalu, Mamed Rofendi; Simangunsong, Pandi Barita Nauli; Sridewi, Nurmala
Jurnal Sistem Komputer dan Informatika (JSON) Vol 6, No 1 (2024): September 2024
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v6i1.8457

Abstract

This research aims to produce an optimal course schedule at STMIK Mulia Darma, with the aim of reducing the number of conflicting courses, equalizing the student burden, and maximizing the use of classrooms. The optimization process is carried out through determining the course schedule using a genetic algorithm. Genetic algorithms were chosen because of their ability to solve large-scale and complex problems, making them suitable for handling complex course scheduling problems that involve many variables and constraints. It is hoped that the results of this study will produce an optimal course schedule, taking into account course clashes, student loads, and classroom use efficiency. After research, the optimal course schedule was obtained.
Optimizing Fixed Asset Management through Information System at BPJS Ketenagakerjaan Belawan Medan Branch Zebua, Heppi Ratnawati; Khairunnisa, Khairunnisa; Sihombing, Monang Juanda Tua
Jurnal Komputer Indonesia (Ju-Komi) Vol. 1 No. 01 (2022): Jurnal Komputer Indonesia (JU-KOMI), October 2022
Publisher : SEAN Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58471/ju-komi.v1i01.329

Abstract

This research aims to enhance the efficiency of fixed asset management at BPJS Ketenagakerjaan Belawan Medan Branch through the implementation of a Fixed Asset Information System. The primary focus involves system requirement analysis, database design, and application development to optimize the maintenance and management of the organization's fixed assets. Data is obtained through interviews with relevant staff, observation of current processes, and analysis of internal documents. The research methodology encompasses the development of a system that can effectively monitor, record, and report information related to fixed assets. It is anticipated that the implementation of this system will improve the accuracy of asset tracking, reduce the potential for data loss, and provide a better understanding of the condition and utilization of fixed assets, thereby supporting more informed decision-making at the BPJS Ketenagakerjaan Belawan Medan Branch level.
The Effect of Intellectual Intelligence, Learning Motivation, Learning Behavior on interest in learning Computer Accounting at Imelda University Medan students Sihombing, Monang Juanda Tua
MAR-Ekonomi: Jurnal Manajemen, Akuntansi Dan Rumpun Ilmu Ekonomi Vol. 2 No. 1 (2023): Jurnal Manajemen, Akuntansi dan Rumpun Ilmu Ekonomi (MAR-Ekonomi), oktober 2023
Publisher : SEAN Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58471/mar-ekonomi.v2i1.146

Abstract

This study aims to analyze the effect of intellectual intelligence, learning motivation, learning behavior on interest in learning computer accounting in Imelda University students in Medan. Intellectual intelligence alone is not able to be relied upon in understanding lessons to start an activity will have a feeling of laziness and not interested in continuing their activities without being balanced with strong learning motivation and enthusiasm causing concentration and attention to lessons will decrease so that low learning behavior will reflect a lack of attitude. both from the student himself in responding and responding to every teaching and learning activity that occurs and is not responsible for the learning opportunities given to him. The analytical method used in this study is a quantitative method by testing the classical assumptions, as well as statistical analysis, namely multiple regression analysis. The total population in this study were 240 students. the sample used was 130 students using a sampling technique with the Cluster Random Sampling method. Students are required to study harder so giving rewards is necessary so that students are motivated to learn. Learning behavior in accordance with educational goals, where educational goals can be achieved effectively and efficiently, so that academic achievement can be improved
Penerapan Algoritma Genetika Pada Optimasi Penjadwalan Matakuliah Pada Perguruan Tinggi STMIK Mulia Darma Sihombing, Monang Juanda Tua; M.Rajagukguk, Denni; Panjaitan, Muhammad Iqbal; Manalu, Mamed Rofendi; Simangunsong, Pandi Barita Nauli; Sridewi, Nurmala
Jurnal Sistem Komputer dan Informatika (JSON) Vol 6, No 1 (2024): September 2024
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v6i1.8457

Abstract

This research aims to produce an optimal course schedule at STMIK Mulia Darma, with the aim of reducing the number of conflicting courses, equalizing the student burden, and maximizing the use of classrooms. The optimization process is carried out through determining the course schedule using a genetic algorithm. Genetic algorithms were chosen because of their ability to solve large-scale and complex problems, making them suitable for handling complex course scheduling problems that involve many variables and constraints. It is hoped that the results of this study will produce an optimal course schedule, taking into account course clashes, student loads, and classroom use efficiency. After research, the optimal course schedule was obtained.
Pelatihan Desain Konten Media Sosial Kreatif Untuk Promosi Kegiatan Gereja Bagi Muda-Mudi Gereja Sihite, A M Hatuaon; Rajagukguk, Denni M; Sihombing, Monang Juanda Tua; Limbong, Riswan; Nadeak, Berto
Marsipature Hutanabe: Jurnal Pengabdian Kepada Masyarakat Vol. 2 No. 02 (2025): Marsipature Hutanabe: Jurnal Pengabdian Kepada Masyarakat
Publisher : CV. Devi Tara Innovations

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Abstract

Active involvement of church youth in ministry is essential for fostering spiritual growth and creativity among Christian youth. In today's digital era, social media serves as a powerful platform to promote church activities in an engaging and modern way. However, many youths lack the skills to design content that is visually appealing and aligned with digital trends. This community service activity aimed to enhance the ability of the youth at GPP Church, Jl. Pelajar, Medan, in creating creative social media content using design applications such as Canva and CapCut. The implementation method included initial observation, hands-on training, mentoring, and evaluation of the participants' work. The results showed high enthusiasm from the participants and their ability to produce creative content in the form of posters, reels, and promotional church event designs. This training successfully improved their understanding and skills in designing and using social media positively to support church events and outreach. Furthermore, it empowered the youth to become creative digital ambassadors for the church, staying relevant to current technological developments.