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All Journal CogITo Smart Journal Jurnal Linguistik Komputasional Journal of Innovation and Future Technology (IFTECH) Frontiers Jurnal Teknik Informatika (JUTIF) JOINTER : Journal of Informatics Engineering GEOGRAPHIA: Jurnal Pendidikan dan Penelitian Geografi Edutik : Jurnal Pendidikan Teknologi Informasi dan Komunikasi Ismart Edu: Jurnal Pendidikan Teknologi Informasi Jurnal Minfo Polgan (JMP) Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Jurnal Indonesia Sosial Teknologi Jurnal Penelitian Rumpun Ilmu Teknik Innovative: Journal Of Social Science Research Tadulako Science and Technology Journal
Vivi Peggie Rantung
Universitas Negeri Manado
Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Public Health Social Sciences Other

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PENERAPAN METODE DEMONSTRASI UNTUK MENINGKATKAN HASIL BELAJAR KOMPOSISI FOTO DIGITAL SISWA SMK Andrew Christensen Jehezkiel Mangkey; Vivi Peggie Rantung; Luckie Sojow
Edutik : Jurnal Pendidikan Teknologi Informasi dan Komunikasi Vol. 1 No. 5 (2021): EduTIK : Oktober 2021
Publisher : Jurusan PTIK Universitas Negeri Manado

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53682/edutik.v1i5.1545

Abstract

Tujuan dari penelitian ini adalah untuk meningkatkan hasil belajar siswa dalam mata pelajaran komposisi foto digital dengan penerapan maetode demonstrasi. Jenis penelitian ini adalah Penelitian Tindakan Kelas. Penerapan metode demonstrasi ini, yang diterapkan pada siswa kelas XI Desain Komunikasi Visual yang berjumlah 11 orang mengalami perkembangan yang signifikan, pada siklus yang pertama siswa belum memenihi KKM dengan hasil yang diperoleh dari siswa yang lulus adalah 27,27%, sedangkan yang belum 72,72% dengan nilai rata-rata 52,72%. Pada siklus yang kedua siswa sudah mampu memenuhi KKM dengan hasil yang diperoleh dari siswa yang lulus adalah 81,81% sedangkan yang belum 18.18% dengan nilai rata-rata 80,00%. Dengan penerapan metode demonstrasi ini kegitan belajar dapat meningkatkan hasil belajar komposisi foto digital siswa kelas XI Desain Kominukasi Visual SMK Negeri 3 Tondano.
MEDIA PEMBELAJARAN BERBASIS MULTIMEDIA UNTUK MATA KULIAH MULTIMEDIA Meyly Olivia Worang; Vivi Peggie Rantung; Mario Tulenan Parinsi
Edutik : Jurnal Pendidikan Teknologi Informasi dan Komunikasi Vol. 1 No. 5 (2021): EduTIK : Oktober 2021
Publisher : Jurusan PTIK Universitas Negeri Manado

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53682/edutik.v1i5.2919

Abstract

Penelitian ini merupakan penelitian pengembagan media pembelajaran yang bertujuan untuk menghasilkan media pembelajaran mata kuliah Multimedia yang diharapkan dapat membantu dosn dalam proses belajar mengajar.Penelitian ini merupakan penelitian pengembangan Multimedia Devolopment Life Cycle (MDLC). Dalam metode ini terdapat 6 (enam) tahapan yaitu: (1) Concept, (2) Design, (3) Obtaining Content Material, (4) Assembely, (5), Testing, (6) Distribution. Pada thap testing ini atau tahap pengujian terdapat empat bentuk uji coba yaitu Developer Tests, Ahli Media, Ahli Materi, dan End-User Tests. Dari penelitian yang dilakukan memperoleh hasil yang baik, dan dari hasil tersebut penelitian mengambil kesimpulan bahwa aplikasi media pembelajaran multimedia
SISTEM PRESENSI GURU DAN PEGAWAI BERBASIS PENGENALAN WAJAH MENGGUNAKAN ALGORITMA VIOLA-JONES DAN LOCAL BINARY PATTERN HISTOGRAMS Kembuan, Olivia; Wuntu, Lucky; Rantung, Vivi
JOINTER : Journal of Informatics Engineering Vol 6 No 01 (2025): JOINTER : Journal of Informatics Engineering
Publisher : Program Studi Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53682/jointer.v6i01.158

Abstract

The process of collecting data on the attendance of teachers and employees at GMIM 2 Tondano Elementary School still uses manual methods and has not been computerized both in taking attendance data to the process of recapitulating attendance data. Based on this, this research aims to design and develop an attendance system by applying face recognition technology. An agile software development method with scrum framework is used to develop the system, this system uses the Viola-Jones algorithm to perform face detection, and uses the Local Binary Pattern Histogram (LBPH) algorithm for face recognition. With a test distance of 1 meter the ViolaJones algorithm gets an accuracy result of 100% and for a distance of 2 meters gets an accuracy result of 0%. Local Binary Pattern Histograms (LBPH) algorithm, getting 100% accuracy for 40 tests with 4 different face samples with a testing distance of 1 meter between the camera and the faces. Based on the results of the tests, it can be concluded that the face recognition-based attendance system was successfully developed for use by teachers and employees at GMIM 2 Tondano Elementary School.
Sentiment Analyisis On Twitter Social Media Towards Minahasa Using Naive Bayes Algorithm Situmorang, Ayu Triana; Rantung, Vivi Peggie
Jurnal Minfo Polgan Vol. 12 No. 2 (2023): Artikel Penelitian 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v12i2.13416

Abstract

Sentiment analysis on social media is an effort to understand the opinions, attitudes, and emotions contained in content shared online. The study focused on sentiment analysis o f Minahasa, an area located in North Sulawesi using data obtained from the social media platform Twitter. Through the use of the Naïve Bayes algorithm, this approach aims to understand and analyze sentiment patterns associated with Minahasa. The Naïve Bayes method used in this study is a classification technique that bases its predictions on probabilities and assumptions about the independence of observed features. By utilizing text data from tweets related to Minahasa, the algorithm can classify the sentiment of each tweet into positive, negative, or neutral. This analysis allows for a deeper understanding of people's views reflected in online conversations. The data obtained from Twitter amounted to 915 tweet data which was then analyzed so as to get a variety of negative, positive and neutral sentiments.
Optimization Of Livestock Data Management With The Implementation Of Naïve Bayes In The Agricultural Service Information System At The Tomohon City Agriculture Office Rettob, Mario Rettob; Rantung, Vivi Piggie
Jurnal Minfo Polgan Vol. 12 No. 2 (2023): Artikel Penelitian 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v12i2.13417

Abstract

Case Study Research: Optimization of Livestock Data Management with the Implementation of Naïve Bayes in the Information System of the Department of Agriculture in Tomohon City. according to the data this year there was a lot of increase in the livestock sector, especially cattle, which was caused by the high birth rate this year, coupled with data stating that the growth of cattle in the Tomohon area was rapid but under control, with a lot of demand and also the number of births, making the Department want to predict the number of births and the success of cows for the upcoming watku. with the hope that the prediction process produced by the Naive Bayes algorithm is expected to make it easier for the Department to get results that can become predictive data for the future. With the hope that the prediction process produced by the Naive Bayes algorithm is expected to make it easier for the Department to get results that can become predictive data for the future. The study of prediction is one way to know the impact of the development that occurs in cattle in a period of time that can be determined so that a handling plan can be made if there is a spike and cannot be controlled, it can also control the birth rate and production of cows in Tomohon.Changes and predictions that can be made by utilizing existing livestock data can be done using a data analysis program with input data on cow development, cow care and cow gender. The simulation results can show the prediction of birth and also the success of cows
DATA MINING ESTIMATE TOURISM INCOME IN TOMOHON CITY USING MULTIPLE LINEAR REGRESSION ALGORITHMS Karamoy, Beauty Leony; Rantung, Vivi Peggie; Kumajas, Sondy; Ratumbuisang, Yosua Fitsgerald
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 4 (2024): JUTIF Volume 5, Number 4, August 2024 - SENIKO
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.4.2199

Abstract

This study aims to estimate the revenue of tourist destinations in Tomohon City using the multiple linear regression algorithm. The problem addressed is how to determine revenue estimates from various tourist spots categorized into nature tourism and cultural experiences. The research method employed is quantitative, using a multiple linear regression approach. Data were collected through interviews with tourist destination owners regarding ticket prices and visitor numbers, and then analyzed using Microsoft Excel. The results show that the independent variables, consisting of ticket prices (X1) and the number of visitors (X2), significantly affect the dependent variable, which is monthly revenue (Y). The regression equation model obtained is Y = -5594 + 250X1 + 2.26X2. Using this model, the next month's revenue prediction for each tourist destination in Tomohon City can be determined, demonstrating that the multiple linear regression approach is effective for estimating tourism revenue.
DEVELOPMENT OF A WEB-BASED TOULOUR REGIONAL LANGUAGE CORPUS USING THE SYSTEM DEVELOPMENT LIFE CYCLE METHOD Lipan, Kezia; Rantung, Vivi P.; Rorimpandey, Gladly C.
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 4 (2024): JUTIF Volume 5, Number 4, August 2024 - SENIKO
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.4.2230

Abstract

Language is a tool for communicating with interlocutors Indonesia is a country that uses Indonesian as an official language, but Indonesia is a multilingual country with 719 regional languages ​​in Indonesia, some of which are classified as endangered. One of the Indonesian regional languages ​​is the Toulour regional language which is one of the regional languages ​​of the Minahasa tribe where the use of the Toulour language is currently decreasing due to the increasing use of the Manado Malay language, making the Toulour language increasingly shifting and threatened with extinction. This research aims to build language resources, namely a corpus, for linguistic researchers to create a dictionary that can later be accessed digitally. This research uses the System Development Life Cycle method, a system development stage. The result of this research is a corpus analysis website that shows 6 corpus analysis techniques, namely word frequency, concordance, tokens, collocations, n-grams, and word lists. There is a download-all token feature for users which can later be utilized by the researcher. Users can also carry out their analysis by entering language text and concordances, collocations, and n-grams, users can also search for them with one keyword.
Penerapan Algoritma K-Nearest Neighbor Untuk Clustering Kebutuhan Obat Berdasarkan Mutasi Laporan Bulanan Pada Dinas Kesehatan Kabupaten Minahasa Enjelina, Enjelina; Rantung, Vivi Piggie
Innovative: Journal Of Social Science Research Vol. 3 No. 6 (2023): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

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

Abstract

Pengelolaan kebutuhan obat dalam konteks Dinas Kesehatan adalah salah satu aspek penting dalam menjaga ketersediaan obat yang diperlukan untuk pelayanan di puskesmas. Penerapan algoritma k-Nearest Neighbor pada clustering kebutuhan obat berdasarkan mutasi ke puskesmas laporan bulanan pada dinas kesehatan kabupaten minahasa dapat membantu dalam mengoptimalkan penggunaan obat dan meminimalkan kekurangan stok obat. Algoritma k-Nearest Neighbor merupakan salah satu metode data mining yang digunakan untuk klasifikasi dan clustering data. Metode ini dapat digunakan untuk mengelompokkan data kebutuhan obat berdasarkan mutasi menjadi beberapa kelompok yang memiliki karakteristik yang sama. Hasil dari algoritma penelitian ini yang terdapat di dalam data mutasi ke puskesmas pada 29 juni 2023-30 juli 2023 yang terdapat mutasi tambah mempunyai accuracy (32.61), mutasi  kurang  mempunyai accuracy (55.88).
Analisa Peran Guru Penggerak Di Dinas Pendidikan Minahasa Berbasis Web Menggunakan Text Mining Mandas, Laura Rebeca; Kainde, Quido C.; Rantung, Vivi P.
Innovative: Journal Of Social Science Research Vol. 4 No. 3 (2024): Innovative: Journal Of Social Science Research (Special Issue)
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v4i3.11602

Abstract

Peran Guru Penggerak diharapkan dapat memberikan dampak yang signifikan terhadap peningkatan kualitas pendidikan di Indonesia. Penelitian ini dilakukan karena Guru Penggerak adalah kunci dalam meningkatkan mutu pendidikan di Dinas Pendidikan Minahasa. Sehingga dibuat sistem analis peran guru penggerak untuk mengetahui sejauh mana peran guru penggerak dalam pendidikan. Dalam penelitian ini menggunakan metode prototype dan memperoleh hasil analisis yang peneliti lakukan pada 11 sampel yaitu 7 guru penggerak yang telah melakukan perannya dengan baik serta ad 4 guru penggerak yang belum melakukan perannya secara optimal. Berdasarkan hasil tersebut sistem analisis peran guru penggerak ini telah berhasil memenuhi kebutuhan fungsional pengguna dengan baik dan pada pengujian confusion matrix menunjukkan bahwa sistem memiliki kinerja yang baik dengan akurasi sekitar 72.73%, presisi sekitar 71.43%, recall sekitar 83.33%, dan F1-score sekitar 76.86%.
Sistem Kontrol Kualitas Air Berbasis Internet of Things Menggunakan Metode Prototype di Desa Pinapalangkow Wowor, Hanna Elisabeth; Rantung, Vivi Peggie; Santa, Kristofel
Innovative: Journal Of Social Science Research Vol. 4 No. 3 (2024): Innovative: Journal Of Social Science Research (Special Issue)
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v4i3.11661

Abstract

Kualitas air yang memadai sangat penting untuk kesehatan dan kesejahteraan masyarakat. Namun, masih ada tantangan dalam memastikan ketersediaan air bersih yang memadai, terutama di Indonesia. Penelitian ini bertujuan untuk mengatasi masalah tersebut dengan merancang dan mengimplementasikan sistem kontrol kualitas air berbasis Internet of Things (IoT) di Desa Pinapalangkow. Dengan menggunakan pendekatan IoT, sistem ini memungkinkan pengawasan dan kontrol kualitas air secara real-time dan otomatis. Komponen utama sistem mencakup sensor pH, Arduino UNO R3, Modul WiFi ESP8266-01, LCD, Buzzer, Relay 1 Channel 5 Volt, dan Pompa Air Mini 12 Volt. Hasil pengukuran dapat diakses melalui platform ThingSpeak pada Laptop/PC dan aplikasi ThingView pada smartphone Android. Penelitian ini menghasilkan sebuah prototipe yang berhasil dalam memberikan informasi mengenai kualitas air yang digunakan untuk keperluan sehari-hari dan membantu menormalisasi kadar pH air. Implementasi prototipe pada bak penampungan air memerlukan penyesuaian jumlah sensor berdasarkan luas permukaan dan jangkauan sensor untuk menghasilkan data yang akurat. Sistem ini diharapkan dapat memudahkan masyarakat dalam memantau dan mengontrol kualitas air yang digunakan, serta dapat memberikan kontribusi dalam meningkatkan kesadaran lingkungan dan kesehatan masyarakat. Kata Kunci: Desa Pinapalangkow, Internet of Things (IoT), Kontrol, Kualitas Air, ThingSpeak.
Co-Authors Abimanyu Marvie Dwisuprapto Andrew C. J. Mangkey Andrew Christensen Jehezkiel Mangkey Ayu Triana Situmorang Christofel Owen Tendean Chrysilia Rimbing Cindy Pamela C Munaiseche Civita Loho Conggresco, Sherly Dalle, Asnir Daniel Riano Kaparang Dodu , Albertch Yordanus Erwin Enjelina Enjelina Ezra Matthew Warouw Runturamby Ferdinan I. Sangkop Gideon Febri Tuuk Gladly Caren Rorimpandey Glendy Koleangan Hajra Rasmita Ngemba Hiskia Kamang Manggopa Inda, Inda Kakahis, Frimer Karamoy, Beauty Leony Kristofel Santa Lintine, Gabriella Bamba Ratih Lipan, Kezia Luckie Sojow Mandas, Laura Rebeca Mangkey, Andrew Christensen Jehezkiel Marcelliano Riccardy Anantho Omega Kalitouw Mario Tulenan Parinsi Medea, Mega Jayanti Meyly Olivia Worang Michella Undap Nancy Sylvia Bawiling Nanda, Agus Estepen Olivia Kembuan P. Dominggo, Nenita Pandoh, Kevin Mclaren Pangaila, Engelina Ester parabelem tinno dolf rompas Penidas Fodinggo Tanaem Putra Ramadhan, Adjie Quido Conferti Kainde Ramba, Rima Ramdan Adjis Ratumbuisang, Yosua Fitsgerald Rettob, Mario Rettob Rosmala Nur Shania Kaparang Simbala, Akmal Situmorang, Ayu Triana Sondy C. Kumajas Supit, Mesiasi Anjelika Syaiful Hendra Tambajong, Karmel Daud Tamboto, Gabriel Trudi Komansilan Wongkar, Abdiel Jeremia Winston Worang, Meyly Olivia Wowor, Hanna Elisabeth Wuntu, Lucky