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All Journal d'Cartesian: Jurnal Matematika dan Aplikasi Jurnal Informatika dan Rekayasa Perangkat Lunak
Mans Lumiu Mananohas
Universitas Sam Ratulangi
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering Mathematics

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MASALAH TONGKAT DAN TALI : KARDIOID VERSUS ELIPS Mans Lumiu Mananohas
d\'Cartesian: Jurnal Matematika dan Aplikasi Vol. 3 No. 2 (2014): September 2014
Publisher : Sam Ratulangi University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35799/dc.3.2.2014.5457

Abstract

Abstrak Sebuah tali dengan panjang tertentu diikatkan ke sebuah tongkat dengan panjang juga tertentu tepat pada tiap ujungnya. Di sini kedua ujung tali masing-masing  harus tepat berada di kedua ujung tongkat. Akan dicari bentuk tali yang memaksimumkan luas antara tali dan tongkat. Solusi yang diinginkan di sini adalah  kurva berbentuk fungsi . Masalah ini akan dikaji untuk panjang tongkat 1 satuan. Untuk kasus panjang tali   telah ditemukan solusinya, yaitu segmen lingkaran. Akan tetapi solusi berupa segmen lingkaran sudah tidak berlaku lagi untuk kasus . Pada penelitian sebelumnya, telah diperiksa beberapa keluarga kurva, dimana segmen elips memberikan luas paling besar. Pada penelitian ini penulis tertarik untuk memeriksa segmen kardioid. Hasilnya terdapat kasus dengan panjang yang sama, yakni 1.539600718, dimana segmen kardioid membentuk luas yang lebih besar bila dibandingkan dengan segmen elips.   Kata kunci :Masalah Dido, masalah tongkat dan tali, maksimum, kardioid, elips.
Web-Based Tracer Study Information System Development Using Rapid Application Development for Alumni Data Management in FMIPA UNSRAT Timothy Salomo Van Dijken Boediman; Chriestie Ellyane Juliet Clara Montolalu; Dodisutarma Lapihu; Mahardika Inra Takaendengan; Mans Lumiu Mananohas; Rillya Arundaa
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol. 6 No. 3 (2025): Volume 6 Number 3 September 2025
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jatika.v6i3.305

Abstract

Tracer studies are essential tools for evaluating the relevance and quality of higher education curricula, as they facilitate the tracking of alumni career outcomes. However, the conventional utilization of Google Forms for data collection in the Information Systems Study Program at FMIPA UNSRAT has led to fragmented and inefficient alumni data management. The objective of this research is to develop a web-based tracer study information system to enhance the efficiency and accuracy of alumni data management. The system's development employed the Rapid Application Development (RAD) method, which prioritizes iterative prototyping and active stakeholder involvement. The research process entailed a multifaceted approach, encompassing a needs analysis, system design, implementation, and black-box testing to ensure system reliability. The resulting web-based system enables alumni to complete dynamic questionnaires according to their employment status, while administrators can efficiently manage and visualize alumni data through interactive dashboards. The system's structured data collection and visualization features support program evaluation and accreditation processes. Preliminary testing results indicate that the system functions as intended and significantly enhances the management and utilization of alumni data. The present study demonstrates that the integration of RAD and web-based technology provides a practical solution for tracer study implementation in higher education institutions.
Implementation of IOT-Based Chili Plant Watering System Prototype with BLYNK Control Cessi Rumondor; Mans Lumiu Mananohas; Rillya Arundaa; Eric Alfonsius
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol. 6 No. 3 (2025): Volume 6 Number 3 September 2025
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jatika.v6i3.483

Abstract

This research aims to design and implement a prototype of an Internet of Things (IoT)-based dual-mode irrigation system for chili plants, integrating automatic and manual control via the Blynk application. The background of this study is the need for efficient water management in chili farming, which is often constrained by traditional manual irrigation methods. The system is built using a NodeMCU ESP32 microcontroller connected to a capacitive soil moisture sensor, DHT11 sensor, and relay modules that control water and fertilizer pumps. The research method uses a prototyping model to design, build, and test the irrigation system. Real-time sensor data is transmitted to the Blynk dashboard, allowing farmers to monitor environmental conditions and control the pumps either automatically (based on threshold logic) or manually via smartphone. The calibration results show that the soil moisture sensor achieves 93.5% accuracy. Testing using the black-box method confirms that all system components function as expected, with responsive performance both in automatic and manual modes. The findings demonstrate that the dual-mode IoT-based irrigation system can maintain optimal soil moisture levels while providing flexibility for farmers to override the system based on real-world conditions. This hybrid solution offers a practical approach to modern agriculture, improving decision-making and efficiency in crop watering practices.
Co-Authors Alfonsius, Eric Cessi Rumondor Chriestie Ellyane Juliet Clara Montolalu Dodisutarma Lapihu Mahardika Inra Takaendengan Rillya Arundaa Timothy Salomo Van Dijken Boediman