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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Ilmu Komputer dan Informasi Jurnal Teknik Informatika Indonesian Journal of Electrical Engineering and Informatics (IJEEI) JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Teknologi Terpadu International Journal for Educational and Vocational Studies Journal of Sustainable Engineering: Proceedings Series Journal of Electronics, Electromedical Engineering, and Medical Informatics Jurnal Sistem Informasi Jurnal Teknik Elektro dan Komputer Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics
Daniel Febrian Sengkey
Department Of Electrical Engineering, Faculty Of Engineering, Universitas Sam Ratulangi, Jln. Kampus Unsrat, Bahu - Manado 95115, INDONESIA
Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Social Sciences

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A Survey on Students’ Interests toward On-line Learning Media Choices: A Case Study Sengkey, Daniel Febrian; Paturusi, Sary Diane Ekawati; Sambul, Alwin Melkie; Gozali, Chyntia Theresa
International Journal for Educational and Vocational Studies Vol 1, No 2 (2019): June 2019
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/ijevs.v1i2.1527

Abstract

The advancement of Information Technology alters various aspects of human life, including learning. In the present era, on-line learning facilities are provided by institutions, ranging from formal higher education to open course-ware providers. On-line learning or e-learning is mostly achieved through stored media that widely available. These media take forms in various formats such as text and images, slide that equipped with narration from the lecturer, or a video where the lecturer appears inside the frames. We conducted a research about how students would response to the available learning media. The research was conducted with repetitive measures. Each measurement was a module that divided into three parts, where each part was presented to the student as one out of three media listed above. Hence we had three media types for each module. Each module took one week, and at the next week we gather their responses through evaluation forms. All modules were completed in six consecutive weeks. After all modules were completed, we analyze their responses and found that our samples responded best to the video with the appearance of the instructor/lecturer, then the slide with audio, and finally text and images.
Pemanfaatan Plaform Pemrograman Daring dalam Pembelajaran Probabilitas dan Statistika di Masa Pandemi CoVID-19 Sengkey, Daniel Febrian; Kambey, Feisy Diane; Lengkong, Salvius Paulus; Joshua, Salaki Reynaldo; Kainde, Henry Valentino Florensius
Jurnal Teknik Informatika Vol 15, No 4 (2020): Jurnal Teknik Informatika
Publisher : Universitas Sam Ratulangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35793/jti.15.3.2020.31685

Abstract

Sejak akhir tahun 2019, dunia menghadapi ancaman dari sebuah virus baru yang dikenal sebagai novel Corona virus, yang kemudian dinamai ulang sebagai SARS-CoV-2. Karena sifat penularannya, maka pembatasan sosial diambil sebagai langkah untuk memperlambat penyebaran virus tersebut. Segala sesuatu harus dilakukan dari jarak jauh, tanpa kontak fisik secara langsung, kecuali untuk kondisi-kondisi tertentu. Oleh karenanya, berbagai hal harus dilakukan dari rumah, termasuk belajar dan mengajar. Makalah ini membahas tentang penggunaan platform pemrograman daring dalam mendukung proses belajar-mengajar pada mata kuliah Probabilitas dan Statistika, yang diselenggarakan pada Program S1 Teknik Informatika, Universitas Sam Ratulangi, Manado.
Kartu Interaktif Realitas Berimbuh sebagai Media Pembelajaran Sistem Sirkulasi Darah Manusia untuk Siswa Kelas XI SMA Indahsari, Bunga; Sugiarso, Brave Angkasa; Sengkey, Daniel Febrian
Jurnal Teknik Informatika Vol 16, No 4 (2021): JURNAL TEKNIK INFORMATIKA
Publisher : Universitas Sam Ratulangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35793/jti.16.4.2021.34209

Abstract

Sistem sirkulasi merupakan salah satu materi terpenting yang harus dipelajari oleh siswa. Terbatasnya alat peraga dan buku yang hanya bisa diakses disekolah membuat siswa sulit memahami materi sistem sirkulasi. Karena keterbatasan tersebut, ketertarikan siswa untuk belajar mendominasi pemanfaatan alat elektronik sebagai bahan ajar. Penerapan teknologi augmented reality dalam pembelajaran sirkulasi menjadi salah satu solusi. Augmented reality berbasis android dimanfaatkan untuk membantu minat siswa belajar lebih efektif. Dengan adanya teknologi ini, penulis mengembangkan aplikasi pembelajaran sistem sirkulasi yang menampilkan animasi mekanisme peredaran darah manusia beserta penjelasannya. Dengan dibuatnya aplikasi ini, diharapkan dapat memudahkan proses pembelajaran dan meningkatkan minat siswa dalam mempelajari materi sirkulasi darah pada manusia. Kata kunci — Augmented Reality, Sistem Sirkulasi, Sistem Peredaran Darah, Technology Acceptance Model.
Analisa Keamanan Jaringan Nirkabel IEEE 802.11 pada Kantor Dinas Pendidikan Kabupaten Minahasa Saraun, Astri; Lumenta, Arie S. M.; Sengkey, Daniel F.
Jurnal Teknik Informatika Vol 17, No 1 (2022): Jurnal Teknik Informatika
Publisher : Universitas Sam Ratulangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35793/jti.17.1.2022.35321

Abstract

Wireless network is a technology that is rapidly developing in the field of data transmission. Wireless network make use of radio waves as a medium for data transmission. Kantor Dinas Pendidikan Kabupaten Minahasa has provided facilities in the form of a wireless network as office facilities to search for information, access the internet, manage data, communicate and others. However, wireless network still has many weaknesses and loopholes hence why it is very vulnerable to threats from irresponsible parties that can cause harm to others. This research aims to analyze the network security system in Kantor Dinas Pendidikan Kabupaten Minahasa. This research conducted testing with cracking the encryption, ARP poisoning, denial of service and wireless router password cracking attacks on wireless networks. This research uses the penetration test method. Attacks carried out against the wireless network have the status of being successful because the security system implemented by Kantor Dinas Pendidikan Kabupaten Minahasa is still not secure. The result of this study can be used by network managers as materials in repairing or improving the network security system in Kantor Dinas Pendidikan Kabupaten Minahasa Jaringan nirkabel merupakan teknologi yang berkembang di bidang transmisi data. Jaringan nirkabel memanfaatkan gelombang radio sebagai media transmisi data. Wireless fidelity atau yang sering kita sebut Wi-Fi merupakan perangkat standar yang digunakan untuk komunikasi lokal tanpa penggunaan kabel (wireless local area network). Pada Kantor Dinas Pendidikan Kabupaten Minahasa telah menyediakan fasilitas berupa jaringan nirkabel sebagai fasilitas kantor untuk digunakan dalam mencari informasi, mengakses internet, pengelolaan data, berkomunikasi dan lainnya. Namun jaringan nirkabel masih memiliki banyak kelemahan atau celah sehingga sangat rentan terhadap ancaman - ancaman serangan dari pihak yang tidak bertanggung jawab yang bisa menyebabkan kerugian pada orang lain. Penelitian ini untuk menganalisis sistem keamanan jaringan pada Kantor Dinas Pendidikan Kabupaten Minahasa. Melakukan pengujian dengan serangan cracking the encryption, ARP poisoning dan denial of service terhadap jaringan nirkabel. Penelitian ini menggunakan metode penetration test. Serangan – serangan yang dilakukan terhadap jaringan nirkabel berstatus berhasil karena sistem keamanan yang diterapkan oleh Kantor Dinas Pendidikan Kabupaten Minahasa masih kurang aman. Hasil dari penelitian ini bisa digunakan oleh pengelola jaringan sebagai bahan dalam perbaikan atau meningkatkan sistem keamanan jaringan pada Kantor Dinas Pendidikan Kabupaten Minahasa. 
Effects of kernels and the proportion of training data on the accuracy of SVM sentiment analysis in lecturer evaluation Daniel Febrian Sengkey; Agustinus Jacobus; Fabian Johanes Manoppo
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 9, No 4: December 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v9.i4.pp734-743

Abstract

Support vector machine (SVM) is a known method for supervised learning in sentiment analysis and there are many studies about the use of SVM in classifying the sentiments in lecturer evaluation. SVM has various parameters that can be tuned and kernels that can be chosen to improve the classifier accuracy. However, not all options have been explored. Therefore, in this study we compared the four SVM kernels: radial, linear, polynomial, and sigmoid, to discover how each kernel influences the accuracy of the classifier. To make a proper assessment, we used our labeled dataset of students’ evaluations toward the lecturer. The dataset was split, one for training the classifier, and another one for testing the model. As an addition, we also used several different ratios of the training:testing dataset. The split ratios are 0.5 to 0.95, with the increment factor of 0.05. The dataset was split randomly, hence the splitting-training-testing processes were repeated 1,000 times for each kernel and splitting ratio. Therefore, at the end of the experiment, we got 40,000 accuracy data. Later, we applied statistical methods to see whether the differences are significant. Based on the statistical test, we found that in this particular case, the linear kernel significantly has higher accuracy compared to the other kernels. However, there is a tradeoff, where the results are getting more varied with a higher proportion of data used for training.
Ship-to-Shore Wireless Communication for Asynchronous Data Delivery to the Remote Islands Alwin M. Sambul; Sherwin R.U.A. Sompie; Daniel Febrian Sengkey; Agustinus Jacobus; Alicia A.E. Sinsuw
Journal of Sustainable Engineering: Proceedings Series Vol 1 No 1 (2019)
Publisher : Fakultas Teknik Universitas Sam Ratulangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35793/joseps.v1i1.13

Abstract

Nowadays, many people who live in remote islands of Indonesia are still facing difficulties in terms of access to information. In the locations where end-to-end communication is not available, the asynchronous approach can be utilized to send information in the form of digital data. In some areas, we could utilize passenger ships or ferries as physical carriers to deliver digital data to the people in the remote islands which are located at a particular range of distance from the ship’s passing routes. This paper reports the channel performance of long-range WiFi connection oversea at 5 GHz using the real ship’s route at the North Sulawesi province‘s water in Indonesia as a sample scenario. The measurement results showed that the most stable ship-to-shore communication can be achieved in ±15 minutes at the maximum distance between the ship and shore of about 4 km. The maximum channel capacity was 120 Mbps for upload (from ship to shore) and 53 Mbps for download (from shore to ship), which is enough to deliver gigabytes of information to the people at the islands every time the ship passes by.
Identifying Students' Pre-Classroom Behaviors in a Flipped Learning Environment Daniel Febrian Sengkey; Sary Diane Ekawati Paturusi; Alwin M. Sambul
Journal of Sustainable Engineering: Proceedings Series Vol 1 No 2 (2019)
Publisher : Fakultas Teknik Universitas Sam Ratulangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35793/joseps.v1i2.19

Abstract

Advancements in Information Technology have lead the world to new ways of life including in the education field. Nowadays we have various types of computer and Internet-assisted learning. With the booming of blended learning, here comes the flipped classroom environment, where students are expected to learn even before the conventional class meetings started. In this study, we address the question of how students behave toward various learning materials packaged in 3 types of media: text and images, slide shows with audio narration, and slide shows with the appearance of the lecturer. Based on our samples the findings are surprising: some students never made access before the class; and on the other hand, the text-and-image-based learning materials have the highest number of pre-classroom access.
Implementing Support Vector Machine Sentiment Analysis to Students' Opinion toward Lecturer in an Indonesian Public University Daniel Febrian Sengkey; Agustinus Jacobus; Fabian Johanes Manoppo
Journal of Sustainable Engineering: Proceedings Series Vol 1 No 2 (2019)
Publisher : Fakultas Teknik Universitas Sam Ratulangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35793/joseps.v1i2.27

Abstract

Student feedback is an important evaluation tool for quality improvement. Moreover, in Indonesian higher education system there is an assessment regulation that puts special attention to the availability of the student feedback system. However, parts of the questionnaire are in the form of descriptive text that requires more effort for analysis. This situation leads to a very tiresome work in case of the number of documents reaches several hundred or even thousands. There were some efforts to apply computer-assisted classification by utilizing machine learning, however, most of them only analyzed English documents. Only a handful that studied the classification of documents in Bahasa Indonesia. In reality, we found some cases where the students used mixed languages while filling the evaluation forms. Therefore, in this study, we expand the application of text classification by using Support Vector Machne (SVM) to cases of student feedback in mixed languages. The model was built computationally and from the test, we get 74% accuracy and 0.46 Kappa value.
Mixed-type Variables Clustering for Learners’ Behavior in Flipped Classroom Implementation Daniel Febrian Sengkey; Angelina Stevany Regina Masengi
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 11, No 1: March 2023
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v11i1.4376

Abstract

Numerous approaches have been developed to group learners’ behavior in an online/blended learning environment. However, most clustering analyses in this particular field only consider numeric features despite the existence of categoric features that are found important in other studies. In this study, we compare K-Means and K-Prototypes algorithms to cluster learners’ behavior in a flipped classroom implementation. From the model selection, we found that the model produced by the K-Prototypes algorithm — which included categoric features — is a better one. The statistical analysis of the clustering results of the selected K-Prototypes model shows significant differences in most of the inter-cluster comparisons, implying a good separation of the data. More importantly, we can identify the behavior in each cluster which then can be used to help learners in achieving better results in learning.
Do the Informatics Freshmen Satisfied with Information Technology-assisted Learning? A Study During the Pandemic Era Daniel Febrian Sengkey; Feisy Diane Kambey; Pinrolinvic Duadelfri Kurnialimki Manembu; Heilbert Armando Mapaly; Kenneth Yosua Rumawas Palilingan; Arthur Morits Rumagit; Salvius Paulus Lengkong; Rizal Sengkey; Angelina Stevany Regina Masengi
Jurnal Teknik Informatika Vol. 17 No. 3 (2022): Jurnal Teknik Informatika
Publisher : Universitas Sam Ratulangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35793/jti.17.3.2022.44220

Abstract

Over three years after Patient 0 was identified, COVID-19 is still a scourge for the world. It has taken its toll in various aspects, including altering human day-to-day routines. Its impact on education forces classes to be held online in a synchronous virtual meeting or through asynchronous learning that utilizes a Learning Management System (LMS). This study addressed the satisfaction issue of freshmen, who just entered college and must be facing online learning held through an LMS.
Co-Authors Ade Yusupa Agustinus Jacobus Alicia A.E. Sinsuw Alwin M. Sambul Alwin M. Sambul Alwin M. Sambul, Alwin M. Alwin Melkie Sambul Alwin Melkie Sambul Angelina Stevany Regina Masengi Arie Lumenta Arthur Morits Rumagit Bachmid, Muhdad Balansa, Kirsten Edward Nangoy, Edward Fabian Johanes Manoppo Feisy Diane Kambey Gozali, Chyntia Theresa Gozali, Chyntia Theresa Heilbert Armando Mapaly Indahsari, Bunga Jimmy Posangi Joseph, Victor Florencia Ferdinand Kainde, Henry Valentino Florensius Kambey, Feisy Diane Kaunang, Stephani Gabriela Kenneth Yosua Rumawas Palilingan Kolang, Indri Claudia Legi, Moudy Lu'o, Natalia Intan Suryani Mamahit, Juliet Merry Eva Mambo, Christi Diana Marthen Theogives Lasut, Marthen Theogives Mawara, Reza Michelly Cantika Nur Fiat, Daffa Onsu, Romario Paturusi , Sary D. E. Paturusi, Sary Diane Ekawati Paturusi, Sary Diane Ekawati Pertiwi, Junita Maja Pinrolinvic Duadelfri Kurnialimki Manembu Purnomo, Nadira Tri Ardianti Rizal Sengkey Salaki, Reynaldo Joshua salvius paulus lengkong Salvius Paulus Lengkong Sambul, Alwin Melkie Sambul, Alwin Melkie Saraun, Astri Sary D.E. Paturusi Sary Diane Ekawati Paturusi Sary Diane Ekawati Paturusi Sary Diane Ekawati Paturusi Sherwin R.U.A. Sompie Sugiarso, Brave Angkasa Suratinoyo, Syifabela Ticoalu, Injilia Tirza TRINA EKAWATI TALLEI Unsratdianto Sompie, Sherwin Reinaldo Victor Tarigan Virginia Tulenan Warouw, Finny Yulianty Sanggelorang