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Martinus, Martinus
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Contribution of Arm Muscle Strength, Eye Coordination and Level of Consertation to Volleyball Down Passing as Moderating Variables Ramadhan Wisnu Wardana; Martinus, Martinus; Bayu Hardiyono; Arif Hidayat; Karmila Utari
Kinestetik : Jurnal Ilmiah Pendidikan Jasmani Vol 9 No 2 (2025): June
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/jk.v9i2.40147

Abstract

The objectives of this research are as follows 1) To find out how much arm muscle strength (X1) contributes to the concentration level (Y) of students at SDN 171 Palembang; 2) To find out how much contribution Hand Eye Coordination (X2) has to the level of concentration (Y) of students at SDN 171 Palembang; 3)To find out how much the level of concentration (Y) contributes to the bottom passing of volleyball (Z) of students at SDN 171 Palembang; 4) To find out how much arm muscle strength (X1) contributes to the bottom passing of volleyball (Z) of students at SDN 171 Palembang; 5) To find out how much hand eye coordination (X2) contributes to the bottom passing of volleyball (Z) of students at SDN 171 Palembang; 6) To find out how much arm muscle strength (X1) contributes to Hand Eye Coordination (X2) of students at SDN 171 Palembang. This type of research method is quantitative research with a partial correlation approach. Quantitative methods are methods that are based on numerical information or quantities, and are usually associated with statistical analyzes. The results of the research can be concluded that there is a contribution of arm muscle strength, hand eye coordination and level of concentration to passing volleyball at SD Negeri 171 Palembang. Research suggestions for schools, teachers and parents are expected to establish good cooperation to create an atmosphere so that students can concentrate on doing anything, especially to improve students' academic and non-academic achievements in the field of sports
Design and Construction of Duku Sorting System Based on Size Using a Microcontroller on Conveyor Work Martinus, Martinus; Muhammad, Meizano Ardhi; Telaumbanua, Mareli; Andrianto, Rifqi Rhama; Ferbangkara, Sony
International Journal of Electronics and Communications Systems Vol. 1 No. 2 (2021): International Journal of Electronics and Communications System
Publisher : Universitas Islam Negeri Raden Intan Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/ijecs.v1i2.10612

Abstract

Duku (Lansuim Domesticum Corr)fruit harvesting is generally done manually by farmers in Indonesia so that the quality of the duku fruit, especially the uniformity of size, is not considered. The impact of this harvesting is a decrease in fruit quality and a decrease in selling prices. It is necessary to develop a new sorting machine for duku so that the fruit size is accurate. This research aims to make a sorting system for duku fruit based on size using a microcontroller on conveyor work. The sorting system uses two sensors, VL53L0X and FC-51. The design has a servo actuator to separate the fruit classes. This study developed a correct sorting of duku fruit sizes up to 97.4 percent, counting accuracy up to 99.4 percent, system stability up to 96.65 percent, and transient response of 100 ms. The result of testing this tool is that the ability of the Duku fruit sorting system based on size has a stability value of 96.6 percent. The transient response obtained is 100ms. The accuracy of the perfect sorting results is 97.4 percent, and the calculation of the number of duku using the system is 99.4 percent. The conclusion is that the researchers can create a sorting system based on size using a microcontroller on conveyor work.
Internet of Things Ultraviolet Sterilizer Receiver Box: How to Design and Construct? Muhammad, Meizano Ardhi; Panuju, Achmad Yahya Teguh; Prayitno, Hadi; Pradipta, Rio Ariestia; Martinus, Martinus; Akbar, Gustian Ilham
International Journal of Electronics and Communications Systems Vol. 1 No. 2 (2021): International Journal of Electronics and Communications System
Publisher : Universitas Islam Negeri Raden Intan Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/ijecs.v1i2.10617

Abstract

COVID-19 is a virus that can spread through objects and depending on environmental conditions. It can last for several hours without destroying structures or disintegrating. Due to the COVID-19 pandemic, people were restricted from going outside to buy essential goods. Based on these conditions, it is necessary to design an IoT-based virus-safe package receipt box that is intuitive and comfortable for users to use, whether sending or receiving packages. People can control the system via remote control. Sterilization is carried out intelligently by considering the packet received. Design and construction of Internet of Things Ultraviolet Sterilizer Receiver Box use the Design Science Research Method. The methods consist of six stages: identify problem and motivate, define the objective of a solution, design and development, demonstration, evaluation, and communication. There are three parts of the system: sterilizer receiver box, mobile application, and Internet of Things. The system successfully passes the five testing scenarios: package received detection, package retrieved detection, ultraviolet irradiation, data service, and locking. The IoT-based virus-safe package receipt box can help maintain public health by preventing the COVID-19 virus with ultraviolet sterilization and supporting a modern lifestyle where people who work when the package arrives do not have to worry about the packages arriving.
Development of Lampung Script Characters Recognition Model using TensorFlow Muhammad, Meizano Ardhi; Martinus, Martinus; Nurhartanto, Adhi; Mulyani, Yessi; Djausal, Gita Paramita; Achmad, Deni; Ferbangkara, Sony
International Journal of Electronics and Communications Systems Vol. 3 No. 2 (2023): International Journal of Electronics and Communications System
Publisher : Universitas Islam Negeri Raden Intan Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/ijecs.v3i2.19878

Abstract

In the face of cultural erosion, particularly the dwindling proficiency in deciphering Lampung characters, this research pioneers an innovative approach to cultural preservation. The Lampung character recognition model was developed using TensorFlow, a robust computer vision and machine learning framework. Convolutional Neural Networks (CNN) are integrated to enhance the image processing capabilities. The research employs the Design Science Research methodology, emphasizing problem identification, solution objectives, design and development, demonstration, evaluation, and communication. The dataset, comprising 3900 instances, is meticulously collected and features diverse Lampung script writing. Through preprocessing and classification, the model undergoes training with an 80:10:10 split for training, validation, and test data. The architecture includes CNN layers with ReLu activation functions, and transfer learning is employed using the MobileNet V2 network model. Demonstrating commendable performance, the model achieves an accuracy spectrum of 0.652 to 0.998. The research not only underscores the viability of the TensorFlow model but also establishes a foundation for future explorations in preserving Lampung cultural heritage. This intersection of advanced machine learning and cultural preservation signifies a promising synergy, ensuring the enduring legacy of Lampung characters amid societal and technological transformations.
ANALISIS LINGKUNGAN KERJA DAN BUDAYA ORGANISASI TERHADAP KOMITMEN ORGANISASIONAL DENGAN KEPUASAN KERJA SEBAGAI VARIABLE INTERVENING (STUDI KASUS PADA PT SEJATI KARYA PERKASA MEDAN ) Anton, Anton; Karo-karo, Alex P.; Widjaja, Dennis; Rezeki, Rezeki; Martinus, Martinus
Jurnal Manajemen dan Bisnis Volume 23 No. 1 Tahun 2023
Publisher : UNIKA Santo Thomas

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study aims to understand the Work Environment and Organizational Culture on Organizational Commitment with Job Satisfaction as an intervening variable. There are many causes of job dissatisfaction, therefore this is very related because if employees experience dissatisfaction it will have an impact on increasing high turnover, which means that employees become disloyal to the organization related to organizational commitment. Sometimes simple things are not paid attention to, such as an uncomfortable work environment and organizational culture, reliable human resources can resign. One important factor within the company is managing human resources so that they can utilize them to optimize the achievement of the company's vision. This study used a sample of 100 employees at PT Sejati Karya Perkasa Medan which were processed using SPSS with path analysis statistics and the results showed that there was a positive and significant influence between work environment and organizational culture, job satisfaction and organizational commitment.
ANALISIS LINGKUNGAN KERJA DAN BUDAYA ORGANISASI TERHADAP KOMITMEN ORGANISASIONAL DENGAN KEPUASAN KERJA SEBAGAI VARIABLE INTERVENING (STUDI KASUS PADA PT SEJATI KARYA PERKASA MEDAN ) Anton, Anton; Karo-karo, Alex P.; Widjaja, Dennis; Rezeki, Rezeki; Martinus, Martinus
Jurnal Manajemen dan Bisnis Volume 23 No. 1 Tahun 2023
Publisher : UNIKA Santo Thomas

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study aims to understand the Work Environment and Organizational Culture on Organizational Commitment with Job Satisfaction as an intervening variable. There are many causes of job dissatisfaction, therefore this is very related because if employees experience dissatisfaction it will have an impact on increasing high turnover, which means that employees become disloyal to the organization related to organizational commitment. Sometimes simple things are not paid attention to, such as an uncomfortable work environment and organizational culture, reliable human resources can resign. One important factor within the company is managing human resources so that they can utilize them to optimize the achievement of the company's vision. This study used a sample of 100 employees at PT Sejati Karya Perkasa Medan which were processed using SPSS with path analysis statistics and the results showed that there was a positive and significant influence between work environment and organizational culture, job satisfaction and organizational commitment.
Pengaruh Ukuran Perusahaan, Debt to Equity Ratio, Return on Equity, Produktivitas dan Current Ratio Terhadap Peringkat Obligasi: Studi Empiris pada Perusahaan Keuangan yang Diperingkat oleh PT PEFINDO Periode 2012-2014 dan Terdaftar di BEI Periode 2011-2013 Martinus, Martinus; Suryaningsih, Rosita
Ultimaccounting Jurnal Ilmu Akuntansi Vol 6 No 2 (2014): ULTIMA Accounting
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/akuntansi.v6i2.186

Abstract

The objectives of this research is to examine the effect of Company Size proxied by Total Asset, Debt to Equity Ratio (DER), Return On Equity (ROE), Productivity proxied by Total Asset Turn Over (TATO), and Current Ratio (CR) both partially and simultaneously towards Bond Rating. Bond rating is important to be considered by investors and creditors since it can indicate the company's default risk. The objects of this study are financial institution which were entire financial companies that issuing bonds and rated by PT PEFINDO for 2012, 2013, and 2014, and listed at the Indonesia Stock Exchange periode 2011-2013. Total sample in this research are 18 companies that selected with purposive sampling and analyzed by using multiple regression method. The data used in this study are secondary data such as financial statements and list of bond rating PT PEFINDO. The result of this research indicates that (1) Company Size proxied by Total Asset had a significant affect towards bond rating (2) Debt to Equity Ratio (DER) had no effect towards bond rating (3) Return On Equity (ROE) had no effect towards bond rating (4) Productivity proxied by Total Asset Turn Over (TATO) had no effect towards bond rating (5) Current Ratio (CR) had no effect towards bond rating (6) Company Size, Debt to Equity Ratio (DER), Return On Equity (ROE), Productivity, and Current Ratio (CR) simultaneously have a significant effect towards Bond Rating. Keywords: Company Size, Debt to Equity Ratio (DER), Return On Equity (ROE), Productivity, Current Ratio (CR), Bond Rating
Uji aktivitas antioksidan gel kombinasi ekstrak etanol daun lidah buaya (Aloevera) dan ekstrak daun kemangi (Ocimum Basillicum l) Berbasis sodium alginat dengan metode DPPH Robiyun, Robiyun; Yasir, Angga Saputra; Martinus, Martinus
JOURNAL OF Pharmacy and Tropical Issues Vol. 2 No. 1 (2022): June Edition 2022
Publisher : Indonesian Public Health-Observer Information Forum (IPHORR) Kerjasama dengan Ikatan Sarjana Farmasi Indonesia (ISFI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56922/pti.v2i1.180

Abstract

Pendahuluan: Kerusakan pada kulit yang menimbulkan efek berbahaya dari lingukangan, seperti sinar ultraviolet yang dapat menyebabkan kerusakan kulit adalah radikal bebas yang berupa sinar ultraviolet Daun lidah buaya dan Daun kemangi mengandung saponin, flavonoid, fenol dan tanin. Penelitian ini bertujuan untuk mengetahui aktivitas antioksidan dengan mengetahui nilai IC50 menggunakan metode DPPH.  kombinasi gel ekstrak etanol  lidah buaya (Aloe vera) dan ekstrak etanol daun kemanangi (Ocimum basilicum L) dengan menggunakan basis alginat. Metode yang digunakan dalam ekstraksi adalah maserasi menggunakan etanol 96% dengan nilai rendemen pada lidah buaya sebesar 19,63% dan pada daun kemangi sebesar 19,25%. Pada pembuatan kombinasi gel ekstrak  daun lidah buaya dan daun kemangi menggunakan basis yaitu Sodium Alginat. Dilakukan pengaplikasian ekstrak lidah buaya dan daun kemangi terhadap aktivitas antioksidan dengan menggunakan metode DPPH. Uji aktivitas antioksidan dilakukan dengan menggunakan metode DPPH dengan variasi perbandingan ekstrak kombinasi lidah buaya dan daun yang perbandingan 1:1, 1:2 dan 2:1. Nilai IC50 yang didapatkan perbandingan 1:1 sebesar 52,25 ppm, 1:2 sebesar 41,97 ppm dan 2:1 sebesar 58,22 ppm. Pada kontrol positif gel UV shield essential sunscreen wardah didapat nilai IC50 sebesar 60,35 ppm, dan nilai IC50 kontrol negatif sebesar 437,67 ppm. Nilai IC50 Gel 1:1 dan 2:1 termasuk dalam kategori antioksidan yang kuat karena nilai IC50 dalam range 100-150 ppm. Sedangkan gel 1:2 termasuk dalam kategori sangat kuat karena nilai IC50 < 50 ppm. Gel ekstrak kombinasi aktivitas antioksidan tertinggi dilakukan uji evaluasi gel Hasil uji evaluasi gel menunjukan bahwa sediaan gel ekstrak lidah buaya (Aloe vera) dan daun kemangi (Ocimum basilicum L) masing-masing evaluasi memenuhi persyaratan. Tujuan: Supaya dapat mengetahui aktivitas antioksidan gel kombinasi ekstrak etanol daun lidah buaya (aloevera)dan ekstrak daun kemangi (ocimum basillicum l) berbasis sodium alginat dengan metode dpph. Metode: Alat uji yang di gunakan spektofotometri uv-vis, kuvet,  timbangan, corong, mortir dan stampel, sudip, pipet tetes, tabung reaksi, oven, batang pengaduk, gelas ukur, botol gelap, kaca arloji, pH meter, spatula, aluminium foil, labu Erlenmeyer, dan alat gelas. Hasil: Dari uji menunjukan hasil sediaan gel ekstrak daun lidah buaya (Aloe vera) dan daun kemangi (Ocimum basilicum L) masing-masing kontrol uji memenuhi persyaratan Simpulan: Gel ekstrak kombinasi  daun lidah buaya dan daun kemangi 1:1, 1:2, dan 2:1 memiliki antioksidan berturut-turut 41,97 ppm, 52,25 ppm, dan 58,22 ppm. Gel 1:1 dan 2:1 termasuk dalam kategori antioksidan yang kuat karena nilai IC50 dalam range 100-150 ppm. Sedangkan gel 1:2 termasuk dalam kategori sangat kuat karena nilai IC50 < 50 ppm. Nilai IC50 vitamin C sebagai pembanding memiliki aktivitas antioksidan yang sangat kuat dengan nilai IC50 sebesar 4,75 ppm, termasuk dalam range <50 ppm.
Classification of Rare Mussaenda Species in Indonesia's Tropical Forests Using the CNN Algorithm Raja, H. F. Muchammad; Muhammad, Meizano Ardhi; Martinus, Martinus; Pandu, W.; Muhkito, A.; Muhammad, A.
Jurnal Teknologi Riset Terapan Vol. 2 No. 2 (2024): Juli
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/jatra.v2i2.5011

Abstract

Purpose: Mussaenda frondosa is a rare plant species native to Indonesia’s tropical forests, with limited research focused on its classification and identification, particularly using machine learning. This study aims to develop a classification model for Mussaenda species using a Convolutional Neural Network (CNN) approach to support the advancement of automated plant identification systems. Methodology/approach: The dataset used consists of 650 labeled images, categorized into six primary parts of the plant: leaves, stems, twigs, fruits, flowers, and trees. A CNN model was developed and trained over 200 epochs to classify the images according to these categories. Preprocessing techniques such as resizing, normalization, and data augmentation were applied to enhance model performance. Results/findings: The trained CNN model achieved an accuracy of 80%, demonstrating its ability to classify Mussaenda frondosa components despite the relatively small dataset. Visual inspection of prediction outputs showed consistent identification across several categories, particularly leaves and flowers. Conclusion: The results suggest that CNN can be effectively used to classify rare plant species like Mussaenda frondosa. The model's performance also indicates that even a limited dataset, when properly processed, can yield promising classification results. Limitations: The main limitation of this research is the small dataset size, which may restrict the model's generalizability to broader plant species or more diverse environmental conditions.. Contribution: This study contributes to the field of plant classification by providing a foundation dataset and a validated CNN model for rare tropical species. It opens pathways for further research in biodiversity monitoring and conservation using AI.
Pemodelan AI dengan CNN Untuk Klasifikasi Tanaman Uvaria Grandiflora di Hutan Tropis Indonesia Martinus, Martinus; Ferbangkara, Sony; Annisa, Resty; Hidayatullah, Vezan; Pratama, Rama Wahyu Ajie; Makarim, Alvin Reihansyah
Jurnal Teknologi Riset Terapan Vol. 3 No. 1 (2025): Januari
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/jatra.v3i1.5012

Abstract

Purpose: This research aims to develop an artificial intelligence (AI) model based on the Convolutional Neural Network (CNN) to classify Uvaria plant species, a tropical genus native to Indonesia. The study addresses the challenge of limited datasets for automatic classification in tropical plant identification. Methodology/approach: Images of Uvaria plants were collected directly from their natural habitat and categorized into four primary classes: leaves, stems, twigs, and trees. The dataset comprises 400 labeled images, split into training (279 images, 70%), validation (40 images, 10%), and testing (81 images, 20%). The CNN model was trained for 200 epochs, using data preprocessing techniques such as normalization and augmentation to improve performance. Results/findings: The CNN model achieved an accuracy of 90% on the test set, indicating strong performance in classifying the four categories of Uvaria plant components. The model showed particularly consistent results in distinguishing between leaves and twigs. Conclusion: Despite the relatively small dataset, the results demonstrate that the CNN algorithm is capable of accurately classifying images of Uvaria species. The dataset is considered sufficient to build an effective classification model. Limitations: The main limitation of this study is the limited number of images, which may restrict the model’s ability to generalize to broader or more varied data in real-world conditions. Contribution: This research contributes to the development of AI-based tools for identifying tropical plant species. It offers a practical model and dataset that can support biodiversity monitoring, environmental research, and conservation efforts in Indonesia and similar tropical regions.
Co-Authors *, Yulius Yohanes A.Yudi Eka Risano, A.Yudi Eka Abdul Rahim Achmad Yahya Teguh Panuju Ade Irma Suryani Adhi Nurhartanto, Adhi Afif, Muhkito Agus Sugiri, Agus Ahmad Suudi Ahmad Yonanda Akbar, Gustian Ilham Al-Yosofie, Muhammad Rafly Amrizal Amrizal Andi Temmassonge Andrianto, Rifqi Rhama anggi saputra Annisa, Resty Anton Anton Anwar, Syaipudin Aprizal Fikri Arif Hidayat ARIF HIDAYAT Arinal Hamni Asnawi Lubis Atesya Kesumawati, Selvi Bayu Hardiono Brata Role, Metoddyus Tri Bungan, Jimiana Cendana Sari, Theresia Yovita Cosella, Messy Deni Achmad Djana, Miftahul Djausal, Gita Paramita Dwi Kurnia Putri Elisha, Elisha Endrawan, I Bagus Erika, Teresia Giofani Erismato, Erismato Evita Halim Effendi Exnasia Retno Palupi Handayani Falah, Jericho Al Febriyani, Cela Filya, Kwinny Intan Gunawan, Charles Hadi Prayitno, Hadi Hanny Nilasari Harmen, Harmen Hemma Tinenti Herkulanus Pongkot Herpanus, Herpanus Herry Wardono Hery Dian Septama Hidayatullah, Vezan Hugo Theo Kurniason Ilahi, Tri Wahyuni Irza Sukmana, Irza Isdairi, Isdairi Jamiatul Akmal Jimiana Bunga Karmila Utari Karo-karo, Alex P Karo-karo, Alex P. Kesuma, Yunita Kesumawati, Selvi Atesya Khusna, Miftakhul Laksana, Muhammad Fajar Larisa Paramitha Magnolia, An-Nisa Mahendra Pratama Makarim, Alvin Reihansyah MARDIANA Mardiana Mardiana Mareli Telaumbanua Martoyo Martoyo, Martoyo Masdar Helmi Mayrani, Rizca Muhammad Irsyad Muhammad, A. Muhammad, Meizano Ardhi Muhkito, A. Mukarramah Mukarramah Mulia, Putri Mulyani, Yessi Muslimin Muslimin Nge, Herri Junius Nirwana, Theresia Nobel Cory Nobel Cory Nirwana, Teresa Noviria Sukmawati Novri Tanti, Novri Nur Arifaini Olang, Yusuf PAMUNGKAS, ARYA Pandu, W. Patriani, Ira Pradipta, Rio Ariestia Pratama, Rama Wahyu Ajie Putri, Renatha Amelia Manggala Rahadi Rihatmadja Rahmat Rahmat Raja, H. F. Muchammad Ramadhan Wisnu Wardana Ramadhana, Firman Ramadhana, Vio Rezeki Ongsa Rezeki, Rezeki Risano, Yudi Eka A Riszal, Akhmad Rizal Adi Saputra Robiyun, Robiyun Rohadi, Muhamad Saherimiko Saherimiko Satrio, Muhamad Selvi Melianty Septaliza, Dewi Shannaz Nadia Yusharyahya Shirley Savetlana, Shirley Sihaloho, Nahot Tua Parlindungan Simbolon, Subandri Siti Nurul Khotimah Sony Ferbangkara Sri L. Menaldi Subuh Tugiono, Subuh Sugiyanto - Sukmawati, Noviria Surya Saputra, Surya Saputra Surya Surya Suryaningsih, Rosita Tarkono Tarkono Taroreh, Bangkit Seandi Tinenti, Hemma Gregorius Vitara, Vitara Vrananda, Aidy Viktor W, Dennis Widjaja, Dennis Wijaya , Aldo Wirawan, Muhammad Khaisar Wresti Indriatmi B. Makes Wuysang, Julia Magdalena Yasir, Angga Saputra Yohanes, Yulius Zidane, Muhammad