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All Journal Jurnal TIMES Jurnal Ilmiah Rekayasa dan Manajemen Sistem Informasi Jurnal Teknoinfo The Studies of Social Sciences Jurnal Teknologi dan Sistem Tertanam Journal Social Science And Technology For Community Service Jurnal Ilmiah Sistem Informasi Akuntansi (JIMASIA) Jurnal Teknologi Komputer dan Informasi Journal of Engineering, Computer Science and Information Technology (JECSIT) Bulletin of Network Engineer and Informatics (BUFNETS) Journal of Data Science and Information System Journal of Artificial Intelligence and Technology Information Informatics and Software Engineering (ISE) Journal of Information Technology, Software Engineering and Computer Science Indonesian Journal of Intelligence Data Science (IJIDS) Jurnal Informatika dan Rekayasa Perangkat Lunak Jurnal Ilmiah Sistem Informasi Akuntansi (JIMASIA)
Wisard Widsli Kalengkongan
Universitas Sam Ratulangi
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Social Sciences Other

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RANCANG BANGUN APLIKASI PENDETEKSI KESALAHAN STRUKTUR, FORMAT DAN EJAAN KATA NASKAH SKRIPSI Kolinu, Jhildie; Titaley, Jullia; Kalengkongan, Wisard; Ketaren, Eliasta
Jurnal TIMES Vol 14 No 2 (2025): Jurnal TIMES
Publisher : STMIK TIME

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

Abstract

Penelitian ini bertujuan untuk merancang dan membangun aplikasi web bernama CekNulis yang dapat mengidentifikasi kesalahan penulisan pada naskah skripsi mahasiswa FMIPA UNSRAT, khususnya dalam hal struktur, format pengetikan, dan ejaan kata, sesuai dengan panduan penulisan FMIPA UNSRAT. Metode yang digunakan dalam pengembangan aplikasi ini adalah Prototype yang memanfaatkan teknik Exact String Matching, dan didukung oleh berbagai pustaka Python seperti Flask, Python-docx, Regex, dan SQLAlchemy. Hasil penelitian menunjukkan bahwa aplikasi CekNulis dapat mendeteksi kesalahan struktur, format pengetikan, dan ejaan kata pada file .docx menggunakan fitur deteksi skripsi.
Perancangan dan Pengembangan Website Pariwisata di Kabupaten Halamahera Timur Guselaw, Elton; Mongi, Charles E.; Kalengkongan, Wisard; Ketaren, Eliasta
Jurnal Teknologi Komputer dan Informasi Vol. 13 No. 2 (2025): Juli - Desember 2025
Publisher : Sekolah Tinggi Teknologi Dumai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52072/jutekinf.v13i2.1512

Abstract

Penelitian ini bertujuan merancang dan mengembangkan website pariwisata Kabupaten Halmahera Timur sebagai media informasi dan promosi wisata yang informatif, interaktif, dan responsif. Metode Waterfall digunakan dalam proses pengembangan, meliputi analisis kebutuhan, perancangan, implementasi, pengujian, dan pemeliharaan. Hasil menunjukkan bahwa website berhasil menyajikan informasi destinasi wisata secara lengkap dan mudah diakses. Pengujian fungsionalitas menggunakan Black Box Testing membuktikan semua fitur bekerja baik, sementara usability testing menunjukkan antarmuka yang ramah pengguna. Website ini diharapkan menjadi sarana promosi digital yang efektif bagi pemerintah daerah dan pelaku industri pariwisata.
Sistem Monitoring Arus Air pada Pembangkit Listrik Mikrohidro Skala Kecil dengan Sumber Aliran Air Tandon Alfonsius, Eric; Kalengkongan, Wisard; Marthinus, Adrian
Jurnal Ilmiah Sistem Informasi Akuntansi Vol. 5 No. 2 (2025): Volume 5, Nomor 2, December 2025
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jimasia.v5i2.979

Abstract

Penelitian ini bertujuan untuk mengembangkan prototipe sistem pembangkit listrik mikrohidro berbasis Internet of Things (IoT) yang terintegrasi dengan metode pengairan bertingkat, sebagai bentuk inovasi pemanfaatan energi air hujan untuk menghasilkan listrik skala kecil secara berkelanjutan. Sistem ini dirancang untuk memanfaatkan aliran air dari tandon menuju penampungan lain sebagai sumber penggerak turbin mikrohidro. Energi listrik yang dihasilkan digunakan untuk mendukung sistem monitoring IoT dan aplikasi akuakultur skala kecil. Rangkaian sistem terdiri atas sensor arus, sensor tegangan, dan sensor aliran air (water flow sensor) yang dihubungkan dengan mikrokontroler NodeMCU, dan dikendalikan melalui dashboard web IoT untuk pemantauan kondisi sistem secara real-time. Pengujian dilakukan dengan menggunakan metode Blackbox Testing untuk memastikan setiap komponen IoT dan sensor berfungsi sesuai rancangan. Skenario pengujian meliputi pembacaan nilai sensor aliran air, arus listrik, dan tegangan, serta pengiriman data ke dashboard web. Hasil pengujian menunjukkan bahwa seluruh komponen sistem berfungsi dengan baik sesuai dengan skenario yang dirancang. Sistem mampu memantau debit air antara 1 hingga 5 liter per menit, dengan arus listrik antara 0,2 hingga 1,0 ampere dan tegangan antara 10 hingga 15 volt. Data hasil pengukuran dapat ditampilkan secara real-time dalam bentuk grafik dan tabel historis pada dashboard web. Sistem terbukti stabil, responsif, dan akurat dalam membaca perubahan nilai sensor dan menampilkan data monitoring tanpa keterlambatan signifikan. Hasil penelitian ini menunjukkan bahwa integrasi antara IoT dan sistem mikrohidro skala kecil dapat menghasilkan solusi inovatif untuk pemanfaatan energi terbarukan berbasis air hujan. Selain itu, sistem ini memiliki potensi untuk dikembangkan dalam pengelolaan energi mandiri, sistem akuakultur, dan pembelajaran teknologi hijau, yang mendukung penerapan konsep energi berkelanjutan di masa depan.
Web-Based Healthcare Service System Development Using RAD Method for Community Health Center Efficiency Improvement Iroth, Nathanael Eliasher; Montolalu, Chriestie Ellyane Juliet Clara; Takaendengan, Mahardika Inra; Langi, Yohanes Andreas Robert; Kalengkongan, Wisard Widsli; Lapihu, Dodisutarma
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol. 7 No. 1 (2026): Volume 7 Number 1 March 2026
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jatika.v7i1.1606

Abstract

This research aims to design and develop a healthcare service website for Puskesmas Modoinding to improve efficiency and accessibility of public health services. Previously, information delivery including doctor schedules, service types, operating hours, and patient registration was conducted manually, often causing delays and limited information distribution. The system was developed using the Rapid Application Development (RAD) method, comprising four phases: requirements planning, system design, development, and implementation. Data collection employed interviews, observation, and literature study with 12 stakeholders (10 patients, 2 administrators). The website was built using HTML, CSS, JavaScript, PHP, and MySQL database. Black Box Testing demonstrated 100% success rate across 28 test scenarios covering admin and patient interfaces. System Usability Scale (SUS) evaluation yielded average scores of 85.5 for patients and 87.5 for administrators, both exceeding the 'Very Good' threshold of 80. Ten core features were successfully implemented including online registration, queue status checking, and administrative data management. The developed website enables community members to access healthcare information remotely without physical visits, reducing average registration time by approximately 40%. This research concludes that web-based healthcare systems using RAD methodology can significantly improve service efficiency at community health centers while meeting user requirements and usability standards.
Design of Health Application Prototype "Medimate" Using Design Thinking And System Usability Scale (SUS) Wuaten, Frank Emmanuel; Hatidja, Djoni; Takaendengan, Mahardika Inra; Tenda, Edwin; Soewoeh, Christian Alderi Jeffta; Kalengkongan, Wisard Widsli
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol. 7 No. 1 (2026): Volume 7 Number 1 March 2026
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jatika.v7i1.1607

Abstract

The rapid digitization of healthcare in Indonesia reveals significant usability gaps, with popular applications like Halodoc and Alodokter showing inconsistent System Usability Scale (SUS) scores. Specifically, existing platforms often prioritize feature completeness over user-centered interface design, resulting in navigation ambiguities. Background information highlights that poor UX leads to user abandonment. Therefore, optimizing interface design is crucial. This research aims to design a user-centered health application prototype, "Medimate," to address critical interface and navigation deficiencies. The study employs a mixed-methods approach, utilizing the five-stage Design Thinking framework (Empathize, Define, Ideate, Prototype, Test) for development and SUS for quantitative evaluation. Data collection involved in-depth interviews with two user personas to identify pain points, followed by usability testing with 36 respondents. Responses were collected via Google Forms to facilitate remote data gathering. Results indicate that "Medimate" effectively resolves identified UX issues, achieving a mean SUS score of 80.42, classified as Grade A- (Excellent). Key design improvements include transparent pricing structures, intuitive navigation flows, and integrated mental health features. The study concludes that the Design Thinking approach significantly enhances usability metrics in health applications. "Medimate" demonstrates high acceptability and viability for further functional development. Future research should expand sample sizes to include broader demographics and evaluate backend performance. This study contributes a validated design framework for improving digital health accessibility in emerging markets.
Web-Based Guest Lecture Information System for Committee and Student Users at FMIPA UNSRAT Sumakul, Andrea Emailly; Montolalu, Chriestie Ellyane Juliet Clara; Takaendengan, Mahardika Inra; Pinontoan, Benny; Kalengkongan, Wisard Widsli; Lapihu, Dodisutarma
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol. 7 No. 2 (2026): Volume 7 Number 2 June 2026
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jatika.v7i2.1608

Abstract

Guest lecture management at FMIPA UNSRAT currently suffers from significant fragmentation across WhatsApp, Google Forms, and paper attendance, leading to data duplication, information inconsistencies, and administrative inefficiency. This condition hinders effective decision-making and stakeholder engagement. This study aims to design and develop a centralized Web-Based Guest Lecture Information System to integrate the entire event lifecycle, including publication, registration, digital attendance, and reporting. The system was developed using the Waterfall model with Laravel framework and MySQL database. Comprehensive evaluation involved Black Box Testing, User Acceptance Testing (UAT) with committee members, and User Perception Testing with students. Results indicate a 100% success rate in Black Box Testing across 42 functional scenarios. UAT yielded a 90.4% acceptance rate among committee members, validating operational feasibility and workflow alignment. Furthermore, User Perception Testing achieved a 91.04% satisfaction score among students, with Behavioral Intention reaching 93.6%. These findings demonstrate that the system significantly reduces data fragmentation and improves administrative efficiency compared to manual processes. The system is deemed feasible for immediate deployment, offering a robust solution for centralized academic event management. However, limitations exist regarding financial module integration. Future work should focus on API integration with the central university portal and automated honorarium processing to further enhance scalability and institutional adoption.
Pelatihan Perancangan Visual Aplikasi Mobile dengan MIT App Inventor di SMK Yadika Manado Soewoeh, Christian Alderi Jeffta; Kalengkongan, Wisard Widsli; Aprilyani , Lilis Dwi Sapta
The Studies of Social Sciences Vol. 8 No. 1 (2026): The Studies of Social Sciences
Publisher : Universitas Sam Ratulangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35801/tsss.v8i1.65372

Abstract

Dominasi sistem operasi Android di kalangan pelajar belum dimanfaatkan secara optimal sebagai media kreasi. Kendala utama dalam pembelajaran pemrograman di sekolah adalah tingginya tingkat kesulitan (learning curve) pada bahasa pemrograman berbasis teks. SMK Yadika Manado membutuhkan metode pembelajaran alternatif yang dapat mempermudah siswa memahami konsep dasar pemrograman mobile secara instan dan menyenangkan, guna mengatasi kejenuhan dalam belajar teori. Pelatihan visual programming menggunakan MIT App Inventor adalah pendekatan yang dipilih untuk memungkinkan siswa menyusun kode layaknya menyusun puzzle. Tahapan kegiatan meliputi pra-tes, tutorial pembuatan aplikasi kalkulator, uji coba aplikasi, dan pasca-tes. Hasil pelatihan menunjukkan bahwa 23 siswa berhasil membuat aplikasi fungsional pertama mereka dalam waktu singkat. Data kuesioner memperlihatkan bahwa 91,3 % peserta merasa keterampilan pemrograman mobile akan bermanfaat di masa depan. Perancangan Visual Aplikasi dengan MIT App Inventor adalah solusi tepat guna untuk mengakselerasi pemahaman pemrograman mobile di tingkat SMK, mengubah posisi siswa dari sekadar pengguna pasif menjadi pencipta teknologi aktif.
Comparative Analysis of Seven Machine Learning Algorithms for Morphology-Based Classification of Cammeo and Osmancik Rice Varieties Kalua, Aditya; Agung Wibowo, Mochamad; Alexander Latumakulita, Luther; Widsli Kalengkongan, Wisard; Ijon Turnip, Rama
Bulletin of Network Engineer and Informatics Vol. 4 No. 1 (2026): BUFNETS (Bulletin of Network Engineer and Informatics) April - September 2026
Publisher : PT. GWEX NET PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59688/scp7n107

Abstract

Accurate varietal identification of rice grains is crucial for quality assessment and data-driven decision-making in agricultural informatics. This study aims to comparatively eval-uate seven machine learning algorithms for morphology-based classification of Cammeo and Osmancik rice varieties and to identify the most suitable model for structured numerical grain-feature data. Using a dataset of 3,810 instances with seven image-derived morpho-logical features, a systematic comparison was conducted across Logistic Regression, Multi-Layer Perceptron (MLP), Support Vector Machine (SVM), Decision Tree, Random Forest, Naive Bayes, and k-Nearest Neighbors. The models were evaluated based on classification quality and computational efficiency. Results show that MLP achieved the highest overall predictive performance with an accuracy of 93.03% and an F1-score of 94.17%. However, when balancing accuracy against computational overhead, SVM emerged as the optimal” sweet spot” for industrial implementation, offering a competitive 92.50% accuracy with a 93-fold reduction in execution time compared to MLP. Naive Bayes demonstrated the fastest computational runtime (0.0022 seconds total). The study identifies a distinct trade-off between predictive quality and runtime efficiency, recommending MLP for high-fidelity research and SVM for real-time agricultural informatics applications.
Analisis Potensi Listrik Panel Surya Di Lingkungan Universitas Sam Ratulangi Menggunakan Pendekatan GIS Dan Image Processing Wisard Widsli Kalengkongan; Winsy Christo Deilan Weku; Aditya Lapu Kalua; Yampi R. Kaesmetan
Journal of Artificial Intelligence and Technology Information (JAITI) Vol. 4 No. 1 (2026): Volume 4 Number 1 March 2026
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/jaiti.v4i1.241

Abstract

Pemanfaatan energi surya pada lingkungan kampus memerlukan analisis spasial yang mampu mengidentifikasi lokasi pemasangan panel surya secara lebih terukur. Penelitian ini bertujuan untuk menganalisis potensi pemasangan panel surya di lingkungan Universitas Sam Ratulangi (UNSRAT) menggunakan pendekatan Geographic Information System (GIS) dan image processing. Metode yang digunakan meliputi pengumpulan data radiasi matahari, pengolahan citra drone, analisis spasial area kampus, identifikasi area potensial, serta estimasi potensi energi listrik berdasarkan luas area efektif, intensitas radiasi, efisiensi panel, dan performance ratio sistem. Hasil penelitian menunjukkan bahwa pendekatan GIS dan image processing mampu mengidentifikasi area potensial pemasangan panel surya secara lebih sistematis dan informatif. Total area potensial yang diperoleh sebesar 2.712,06 m², yang terdiri atas area atap bangunan dan area parkiran. Berdasarkan hasil klasifikasi, lokasi potensial dibagi menjadi dua kategori, yaitu daerah hijau yang lebih mudah diakses dan lebih sederhana untuk instalasi, serta daerah kuning yang memiliki luasan lebih besar tetapi memerlukan penyesuaian teknis lebih lanjut. Dengan menggunakan rata-rata radiasi matahari sebesar 495,22 W/m², efisiensi panel 20%, dan performance ratio 0,80, diperoleh estimasi total potensi energi listrik sebesar 214,89 per hari. Penelitian ini menunjukkan bahwa integrasi GIS dan image processing tidak hanya berfungsi untuk visualisasi spasial, tetapi juga dapat dimanfaatkan sebagai dasar sistem pendukung keputusan dalam perencanaan energi surya pada skala kampus. Hasil penelitian diharapkan dapat menjadi acuan awal dalam pengembangan energi terbarukan di lingkungan UNSRAT serta mendukung penerapan konsep green campus yang lebih berbasis data.
Co-Authors Ade Surahman Aditya Lapu Kalua Adrian Philip Marthinus, Adrian Philip Agung Wibowo, Mochamad Albani Boutje Johanes Alexander Latumakulita, Luther Alfonsius, Eric Aprilyani , Lilis Dwi Sapta Benny Pinontoan Charles E. Mongi Christian Alderi Jeffta Soewoeh D. Parsaulian, Dyen Djoni Hatidja E.J.C. Montolalu, Chriestie Eliasta Ketaren Eliasta Ketaren, Eliasta Goma, Shofya Goma, Shotya Guntoro, Guntoro Guselaw, Elton Hidayat Hidayat Ijon Turnip, Rama Iriansu, Irfah Syagitsyah Iroth, Nathanael Eliasher Isnian, Sitti Nur Jullia Titaley Jumriadi Kalua, Aditya Kalumata, Yoel Cleaver Kaplale, Jaidun Ramadhan Khaira, Ulfa Kolinu, Jhildie Langi, Yohanes Andreas Robert Lapihu, Dod Lapihu, Dodisutarma Mahardika Inra Takaendengan Mahardika Inra Takaendengan Mans Lumiu Mananohas Mapalie, Natassya Klarissa Ribka Montolalu, Chriestie Ellyane Juliet Clara Mustakim Mustakim NELSON NAINGGOLAN Ngangi, Stephano Caesar Wenston Pesik, Kevin Jeremi Pondaag, Samuel Esra Raintung, Stephanie Marceline Richard Pongantung Rillya Arundaa Sanriomi Sintaro Sirait, Agustian William Soen Stephano Caesar Wenston Ngangi Sulung, Sharon Tabita Sumakul, Andrea Emailly Takaendengan, Mahardika Inra Tangke, Riyanto Tenda, Edwin Tineke Salaki, Deiby Vederico Pitsalitz Sabandar Winsy Christo Deilan Weku Wuaten, Frank Emmanuel Yampi R. Kaesmetan