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All Journal INFORMAL: Informatics Journal IKRA-ITH Informatika : Jurnal Komputer dan Informatika Journal of Innovation and Future Technology (IFTECH) Jurnal ABDINUS : Jurnal Pengabdian Nusantara JOURNAL OF INFORMATION SYSTEM MANAGEMENT (JOISM) Frontiers Jurnal Teknik Informatika (JUTIF) Jurnal Cahaya Mandalika JOINTER : Journal of Informatics Engineering Edutik : Jurnal Pendidikan Teknologi Informasi dan Komunikasi Indonesian Journal of Innovation Studies Jurnal Minfo Polgan (JMP) International Journal of Information Techonology and Education (IJITE) Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Jurnal Media Computer Science Jurnal Sains Informatika Terapan (JSIT) Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Innovative: Journal Of Social Science Research Jurnal Penelitian Teknologi Informasi dan Sains The Indonesian Journal of Computer Science INOVTEK Polbeng - Seri Informatika Edutik : Jurnal Pendidikan Teknologi Informasi dan Komunikasi Jurnal Komputer, Informasi dan Teknologi
Gladly Caren Rorimpandey
Universitas Negeri Manado
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering 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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Perbandingan Algoritma Regresi Linear dengan Algoritma Backpropagation dalam Estimasi Timbulan Sampah di Sulawesi Utara Martina Lorensa; Rorimpandey, Gladly C.; Santa, Kristofel
The Indonesian Journal of Computer Science Vol. 13 No. 5 (2024): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i5.4093

Abstract

Pada penelitian ini dilakukan perbandingan dua algoritma untuk estimasi timbulan sampah yaitu algoritma regresi linear dengan algoritma backpropagation. Tujuan dari penelitian ini yaitu untuk mengetahui model algoritma dengan performa terbaik yang dihasilkan dari kedua algoritma tersebut yang mana algoritma dengan kinerja terbaik akan digunakan dalam pembuatan sistem estimasi timbulan sampah. Hasil penelitian menunjukkan bahwa berdasarkan hasil evaluasi model untuk kedua algoritma menggunakan data uji didapatkan bahwa model regresi linear sederhana memiliki kinerja yang lebih baik dari pada model backpropagation. Untuk nilai error pengujian data uji dengan metrik evaluasi MSE dan MAE pada model algoritma regresi linear yaitu sebesar 0,034382 dan 0,13332 dibandingkan dengan backpropagation didapatkan nilai MSE dan MAE sebesar 0,03457 dan 0.13974. Dan pada penelitian ini telah dibuat sistem estimasi timbulan sampah menggunakan algoritma regresi linear sederhana dengan pengujian algoritma memiliki nilai error MAPE kurang dari 10% yang mana masuk dalam kategori sangat akurat.
ANALISIS DAN PERANCANGAN E-COMMERCE BUMDES Gladly Caren Rorimpandey; Alfrina Mewengkang; Stevyoman Oktavianus Mumpel
Edutik : Jurnal Pendidikan Teknologi Informasi dan Komunikasi Vol. 1 No. 6 (2021): EduTIK : Desember 2021
Publisher : Jurusan PTIK Universitas Negeri Manado

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53682/edutik.v1i6.3208

Abstract

Penelitian ini bertujuan untuk membuat website e-commerce untuk BUMDes Rumior Makmur Teep Trans, agar dapat membantu dalam proses transaksi barang dan pengolahan data. Penelitian ini menggunakan metode SDLC (System Development Life Cycle) yang terdiri dari 5 tahap yaitu: (1) analysis, (2) design, (3) implementation, (4) testing, (5) maintenance. Metode pengujian yang digunakan black box testing untuk menguji fungsi sistem yang telah dibuat. Hasil penelitian ini adalah dapat membantu pihak BUMDes Rumior Makmur Teep Trans dalam transaksi barang dan pengolahan data.
Buku Tamu Digital Menggunakan Teknologi Optical Character Recognition Dan Framework Laravel Rapar, Pedro Vincensius; Rorimpandey, Gladly Caren; Tinambunan, Medi Hermanto
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.v6i01.398

Abstract

The use of information technology has become essential in improving operational efficiency and data accuracy, particularly in visitor registration systems. At PT. Pertamina Geothermal Energy Area Lahendong, visitor data collection was still carried out manually, often resulting in long queues, unreadable handwriting, and data management difficulties. This study proposes the development of a web-based digital guest book system using Optical Character Recognition (OCR) technology and the Laravel framework. OCR is employed to extract visitor data automatically from images of ID cards (KTP), eliminating the need for manual entry. The system was developed using the Rapid Application Development (RAD) methodology, which emphasizes iterative prototyping and user involvement. User Acceptance Testing (UAT) showed a high satisfaction score of 90.2%, categorized as "Very Good." In addition, OCR testing demonstrated 100% accuracy in extracting data from high-quality KTP images. The implementation of this system simplifies the visitor registration process, reduces the reliance on manual input, no need to leave the ID card at the security post, and enhances data security.
Sistem Presensi Pengenalan Wajah Menggunakan Deep Learning pada Kantor Unit Penyelenggara Pelabuhan Amurang Gupuh, Andi; Rorimpandey, Gladly C.; Moningkey, Efraim R.S
The Indonesian Journal of Computer Science Vol. 14 No. 1 (2025): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v14i1.4551

Abstract

Identifikasi wajah telah dianggap sebagai domain penelitian yang menarik dalam beberapa tahun terakhir karena memainkan peran biometrik utama biometrik utama dalam beberapa aplikasi termasuk manajemen kehadiran dan sistem kontrol akses. Kehadiran Sistem manajemen kehadiran sangat penting bagi semua organisasi meskipun rumit dan memakan waktu untuk mengelola log kehadiran. Ada banyak teknik identifikasi manusia otomatis seperti biometrik, RFID, pelacakan mata, suara pengenalan. Wajah adalah salah satu biometrik yang paling banyak digunakan untuk otentikasi identitas manusia. Sistem presensi pengenalan wajah sistem presensi pengenalan wajah berdasarkan jaringan syaraf tiruan convolutional neural network. Kami memanfaatkan Deep Learning dengan menggunakan jaringan syaraf tiruan yang telah dilatih sebelumnya dan melatihnya pada data kami. Hasil menunjukkan kinerja yang sangat tinggi dalam dalam hal akurasi prediksi yang tinggi dan waktu pelatihan yang masuk akal.
Penerapan Algoritma A* dan Edukasi terhadap Anak Usia Dini pada Game Kesiapan bencana Kebakaran Silalahi, Rike; Rorimpandey , Gladly Charen; Maramis, Glenn
The Indonesian Journal of Computer Science Vol. 14 No. 3 (2025): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v14i3.4886

Abstract

Kebakaran merupakan salah satu bencana yang sering terjadi dan dapat menyebabkan kerugian besar, baik secara material maupun psikologis terutama bagi anak anak. Kurangnya edukasi mengenai kesiapsiaagan bencana kebakaran menjadi tantangan yang perlu diatasi. Penelitian ini bertujuan untuk membuat sebuah game edukasi berbasis android menggunakan algoritma A* untuk membantu anak-anak memahami cara menghadapi situasi darurat kebakaran .Metode yang digunakan dalam penelitian ini adalah Multimedia Decelopment Life Cycle (MDLC) yang terdiri dari enam tahap. Game yang dikembangkan berjudul Pici Sang Penakluk Api yang dirancang dalam format 3D menggunakan Unity. Algoritma A* diterapkan untuk menentukan jalur evakuasi yang optimal. Dalam tahap pengujian dilakukan dengan metode Black Box testing yang menunjukkan bahwa game berjalan sesuai dengan fungsionalitas yang dirancang. Hasil penelitian diharakan dapat meningkatkan kesadaran dan pemahaman mengenai kesiapsiaagan terhadap kebakaran.
Web-Based Attendance System For Daily Freelance Workers At The Secretariat Of The Regional House Of Representatives (DPRD) Of Minahasa Regency Using The Prototype Method Rawung, Lanamey Praisy Indiana; Rorimpandey, Gladly Caren
Jurnal Media Computer Science Vol 4 No 2 (2025): Juli
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v4i2.9067

Abstract

The procedure of recording the attendance of casual workers at the Secretariat of the Regional People's Representative Council (DPRD) of Minahasa Regency is still carried out manually, which is easily exposed to recording errors, manipulation of data, and requires ineffective time and energy. To solve this problem, this research aims to design and develop a web-based attendance recording system by applying the Prototype method. This method was chosen because it supports the development of a system that is interactive and responsive to user needs through a series of iterations between developers and users. The designed system enables electronic attendance recording, employee data management, as well as the presentation of attendance reports automatically and precisely. The pilot test shows that the system is able to increase efficiency and accuracy in the attendance administration process, as well as facilitate supervision by the authorities. Therefore, the system is expected to serve as an effective solution to support a more modern and transparent administrative management within the Secretariat of Minahasa Regency Parliament.
Predictive Classification of Online Gambling Impacts in North Sulawesi Using Naive Bayes: Klasifikasi Prediktif Dampak Judi Online di Sulawesi Utara Menggunakan Naive Bayes Tameo, Vito Ernesto; Tinambunan, Medi Hermanto; Rorimpandey, Gladly C.
Indonesian Journal of Innovation Studies Vol. 26 No. 4 (2025): October
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v26i4.1728

Abstract

General background: Online gambling has become a growing societal issue in Indonesia, affecting various economic and social dimensions. Specific background: North Sulawesi is identified as one of the most vulnerable regions, with a high volume of gambling transactions and significant social consequences. Knowledge gap: Previous studies in Indonesia have focused mainly on behavioral, legal, or health aspects, with limited use of predictive modeling to map community vulnerability. Aims: This study aims to analyze the social, economic, and psychological impacts of online gambling and to develop a predictive model using the Naive Bayes algorithm to classify impact levels. Results: Based on data from 504 respondents, the model achieved an accuracy rate of 94.05% in classifying impacts into light, moderate, and severe categories. Precision and recall were highest for light and severe categories, while moderate categories showed lower performance. Novelty: This research introduces a data-driven predictive approach within a regional Indonesian context, which has been underexplored in prior studies. Implications: The findings provide a practical foundation for regional governments to design targeted interventions, ranging from digital literacy programs to psychological rehabilitation services, based on data-driven risk classification. Highlight: The model achieved 94.05% accuracy in classifying online gambling impacts. Regional data provided structured insights into social, economic, and psychological consequences. Findings support evidence-based policymaking for targeted local interventions. Keyword:Online Gambling, Predictive Classification, Naive Bayes Algorithm, Social and Economic Impacts, North Sulawesi
Implementasi Algoritma Needleman-Wunsch dalam Pengujian Tingkat Kemiripan DNA Babi Sulawesi Utara Ngovangari, Rivchi Hanni; Rorimpandey, Gladly Caren; Kembuan, Olivia; Sumual, Hendro Maxwell
JOINTER : Journal of Informatics Engineering Vol 5 No 01 (2024): JOINTER : Journal of Informatics Engineering
Publisher : Program Studi Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53682/jointer.v5i01.32

Abstract

Data is a collection generated from various media used by humans. DNA data is a form of data, which is data in the form of genetic code text to store biological identities and characteristics of living things. This study used DNA to test the similarity level of North Sulawesi pigs. The method used is the Pairwise Sequence Alignment method. With sequences of different DNA lengths, the researcher implemented the Needleman-Wunsch algorithm for alignment. Matching is used using the BioPython module, which is in pairwise2. And this study produces a model and proportion of the similarity level of North Sulawesi Pigs that can be used as future references for biological research on molecular biology or for the field of informatics in implementing Needleman-Wunsch algorithm in Python, or references and additional knowledge for research in Bioinformatics.
IMPLEMENTATION OF THE FORWARD CHAINING METHOD FOR DETECTING SCHOOL READINESS IN CHILDREN Rorimpandey, Gladly C.; Mantik, Felitia Theona Geofani; Hasibuan, Alfiansyah
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.2024.5.4.2221

Abstract

Primary school education is the education of children aged 7 to 13 years as education at the basic level which is developed in accordance with educational units, regional potential and socio-culture. School readiness for children is no less important because in fact school readiness for children is very important for children because many children are found to be still not ready. attended school when but was already in elementary school. To overcome this problem, this research provides a solution by building an expert system for detecting school readiness in children using the forward chaining method, which is a technique in an expert system that begins with gathering information starting from collecting premises which is followed by a conclusion or derived information (then). From the results of testing using functional testing and usability testing, it is known that in implementing the forward chaining method, 24 symptoms of school readiness were identified based on knowledge obtained directly from psychologists. The results obtained in testing using usability testing based on the results obtained are assessed as final and then the average value is calculated. The final conclusion of the results determined through the SUS Score assessment is 84%. This shows that this system easy and useful in assessing children's school readiness. The implication of the results of this test is that the school readiness detection expert system can be a useful tool for parents, teachers to evaluate children's readiness to enter elementary school.
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.
Co-Authors Alfiansyah Hasibuan Alfrina Mewengkang Ayu Triana Situmorang Batmetan, Johan R Bonenehu, Kurniawan Brandon Natanael Gerungan Chrysilia Rimbing Cindy Pamela C Munaiseche Civita Loho Clay Justin Wowor Febiola Emilliany Christiani Makarawung Friliandra Valentcia Sumendap Gitarosalina Sibarani Gupuh, Andi Hamsah Hamsah Hasibuan, Alfiansyah Hendro Maxwell Sumual HS, Fatimah Hulu, Lena Enjelin Imanuel Wowor Intan, Sondakh Agnes Jessica Daniel Joni Kainde, Quido C Kenap, Audy A. Krina Crisila T. Mawuntu Kristofel Santa Kristofel Santa Lipan, Kezia Lumataw, Alfred Tenda Lumenta, Harfey Mamonto, Nurmila Mantik, Felitia Theona Geofani Maramis, Glenn D. P. Marcelliano Riccardy Anantho Omega Kalitouw Mario Trinto Risky Rettob Martina Lorensa Maswonggo, Vandi Vanda Medi Hermanto Tinambunan Merlin Aprilia Liow Moh Ramdhan Arif Kaluku Moningkey, Efraim R.S Mumpel, Stevyoman Oktavianus Ngovangari, Rivchi Hanni Oliver Simon Hardianto Raharusun Olivia Kembuan parabelem tinno dolf rompas Ponggohong, Alfa Riegel Imanuel Quido Conferti Kainde Ramdan Adjis Rapar, Pedro Vincensius Rawung, Lanamey Praisy Indiana Readel Lantang Beryl Mangkey Refandi Andika Runtu Rombon, Natalia Arsel Rompas, Billy Silalahi, Rike Sondy C. Kumajas Sondy Campvid Kumajas Stevyoman Oktavianus Mumpel Sulaeman, Raffy Avian Supit, Charenia Syalomita Cinta Tameo, Vito Ernesto Tandiapa, Saron Tandiapa, Solagratia Saron Tiwi, Heri Susan Turnip, Maydupi Astri Vandi V.Maswonggo Vincensius Rapar, Pedro Vira Chlaudia Makahinda Vivi Peggie Rantung