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Pemanfaatan Teknologi Informasi HEC-HMS Pada Potensi Penerapan Rainwater Harvesting Di Perumahan Bumi Kilu Permai Kota Manado: Use of Information Technology HEC-HMS on Potential for Implementing Rainwater Harvesting in Bumi Kilu Permai, Manado City Tumurang, Olivia Maria
Jurnal Teknik Elektro dan Komputer Vol. 13 No. 01 (2024): Jurnal Teknik Elektro dan Komputer
Publisher : Universitas Sam Ratulangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35793/jtek.v13i01.52884

Abstract

Abstract - Flood disasters are a seasonal threat that always occurs, an increase in surface flow discharge which has the impact of flooding due to lost absorption capacity and drought in the dry season. Techniques or methods are needed to prevent this, such as the eco-drainage concept that can be applied, including Rainwater Harvesting (RWH). Community participation in maintenance is needed to maintain the success of the ecodrainage system. It is hoped that the people living in the Bumi Kilu Permai Housing Complex can set an example in environmental maintenance implemented in their respective homes in dealing with the possibility of flooding. This research evaluates the potential for implementing a rainwater harvesting system in managing environmentally sound drainage. The method used to calculate the capacity of rainwater harvesting facilities uses monthly storage simulations. Rain distribution uses the HEC-HMS application to determine flood discharge hydrographs, Log Pearson Type III frequency analysis method. Calculation of discharge in gutters and also calculation of rainwater harvesting. The application of rainwater harvesting in the Bumi Kilu Permai housing complex by applying HEC-HMS 4.2.1 software shows that the peak flow hydrograph is 390 mm/hour. The use of an open rectangular gutter of 15 cm x 15 cm is still safe for a return period of 2 to 100 years with discharge on the roof is 0.210 m3/s. The average rainfall calculated using HEC_HMS 4.2.1 software was 25,527.32 liters. The tower used for rainwater harvesting is 1000 liters in size. With the monthly amount of water that can be stored for 1 month, it is 186,000 liters, while the amount of water that can be stored in the tower is 180,440.73 liters. Implementing rainwater harvesting for 1 house can reduce 1000 liters of surface water runoff. If 300 can withstand 300,000 liters of surface water runoff or runoff. Of course, this can help minimize the probability of flooding in Paniki Satu Village, which is located in front of the Bumi Kilu Permai Housing Complex and is in the Paniki Watershed.   Keywords: Rainwater Harvesting, HEC-HMS, Manado   Abstrak - Bencana banjir adalah ancaman musiman yang selalu terjadi, peningkatan debit aliran permukaan yang membawa dampak terjadinya banjir akibat kapasitas resapan hilang dan kekeringan  di musim kemarau. Diperlukan teknik atau metode untuk mencegah hal tersebut, seperti konsep ekodrainase yang dapat diterapkan diantaranya adalah Rainwater Harvesting (RWH). Peran serta masyarakat dalam hal pemeliharaan sangat dibutuhkan untuk tetap menjaga keberhasilan sistem ekodrainase.
Workshop Pengembangan Perangkat dengan Model Pembelajaran Berbasis Masalah untuk Guru di Kecamatan Motoling Kabupaten Minahasa Selatan Paat, Meike; Mokalu, Yohanes Bery; Tumurang, Olivia Maria
INTEGRITAS : Jurnal Pengabdian Vol 8 No 1 (2024): JANUARI - JULI
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat - Universitas Abdurachman Saleh Situbondo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36841/integritas.v8i1.4142

Abstract

Workshop penerapan perangkat pembelajaran biologi dengan model pembelajaran berbasis masalah merupakan suatu elemen penting untuk untuk menunjang program pembelajaran yang dilaksanakan melalui kegiatan pengabdian pada masyarakat untuk guru-guru di SMA Negeri Motoling. Tujuan dari pengabdian ini yaitu memperluas pemahaman konsep dan meningkatkan keterampilan dalam mengembangkan perangkat pembelajaran berbasis masalah. Metode yang digunakan terdiri dari tiga tahap yaitu persiapan, pelaksanaan dan evaluasi yang meliputi persiapan, pemberian materi, praktik pengembangan perangkat pembelajaran, diskusi dan evaluasi. Hasil dari pelatihan ini diharapkan dapat membantu guru meningkatkan pemahaman dan keterampilan mereka dalam mengembangkan perangkat pembelajaran berbasis masalah. Pada tahap evaluasi, dilakukan penilaian terhadap hasil kegiatan menggunakan kuesioner yang dibagikan kepada peserta oleh tim pengabdian masyarakat. Berdasarkan hasil kuesioner yang diberikan kepada guru, sebanyak 51% dari responden menyatakan sangat setuju, 14% netral, dan 35% responden menyatakan setuju. Sehingga bisa diambil kesimpulan bahwa perangkat pembelajaran ini dinilai bermanfaat, relevan serta dapat membantu dan mengoptimalkan pemahaman dan keterampilan mereka dalam mengembangkan perangkat pembelajaran serta penerapannya.
Combination of TF-IDF and Rabin-Karp for Detecting Document Similarity in Student Thesis Abstracts Saputro, Pujo Hari; Pontoh, Fransisca Joanet; Tumurang, Olivia Maria
Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD Vol. 8 No. 1 (2025): J-SISKO TECH EDISI JANUARI
Publisher : STMIK Triguna Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53513/jsk.v8i1.10611

Abstract

Final semester students are required to complete a final project in the form of research relevant to their respective fields of study, to find innovative solutions, and to develop critical thinking skills. However, plagiarism is a common problem that often arises. Plagiarism is defined as the act of taking someone else's work, including opinions, and claiming it as one's own. Therefore, technology can be used to detect similarities in the abstracts of student manuscripts submitted during thesis title submissions, allowing for early detection of plagiarism. The corpus used was taken from the directory of final projects from the Computer Engineering Study Program, consisting of 98 data points, and from the Civil Engineering Study Program, consisting of 40 data points. In this study, utilizing the TF-IDF and Rabin-Karp algorithms, it was found that TF-IDF is capable of detecting the importance of a word in a document relative to the entire corpus. Rabin-Karp has also proven effective in detecting matching patterns in several corpuses, with a known pattern matching accuracy of 70%.