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Kaesmetan, Yampi R
STIKOM Uyelindo Kupang
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SISTEM PENDUKUNG KEPUTUSAN UNTUK PENERIMAAN MURID BARU PADA SMKN 4 KOTA KUPANG MENGGUNAKAM METODE PROMETHEE Mutty, Nanda Gracenda Christina; Wole, Jernianti Susanti; Ndun, Alfrend; Kaesmetan, Yampi R
MULTITEK INDONESIA Vol 17 No 2 (2023): Desember
Publisher : Universitas Muhammadiyah Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24269/mtkind.v17i2.8152

Abstract

Kegiatan penerimaan murid baru merupakan kegiatan yang dilakukan disetiap sekolah. SMKN 4 Kota Kupang merupakan salah satu sekolah yang setiap tahunnya menyelenggarakan pendaftaran murid baru. Pendaftaran yang dilakukan masih secara manual seperti menggunakan spredsheet atau pengolah angka menimbulkan permasalahan antara lain lamanya proses pendaftaran. Penelitian ini bertujuan untuk mengembangkan sistem pendukung keputusan penerimaan murid baru menggunakan metode promethee. Di era teknologi dan komunikasi yang semakin maju, sekolah – sekolah membutuhkan sistem yang efisien dan akurat dalam memilih murid baru. Sistem pendukung keputusan sebagai salah satu alat pengambilan keputusan, kini sudah mulai banyak diterapkan dalam berbagai bidang kehidupan , tak terkecuali dalam proses pengambilan keputusan penerimaaan peserta didik baru di SMKN4 Kota Kupang. Dengan adanya sistem pendukung keputusan (SPK) Dapat membantu sekolah dalam pemilihan jurusan pada murid baru. Metode yang digunakan dalam membangun sistem pendukung keputusan, metode promethee (Preference Rangking Organization Method For Enrichment Evaluation ) adalah suatu penentuan urutan atau prioritas dalam analisis multikriteria. 
Sistem Pendukung Keputusan Penentuan Penerimaan Guru Baru Di Sma 9 Kupang (Bimoku) Menggunakan Metode Weighted Product Rihi, Ivana; Laoe, Desly sabatini; Tefa, Sepri; Kaesmetan, Yampi R
Jurnal Ilmu Komputer dan Sistem Informasi (JIKOMSI) Vol. 3 No. 1 (2020): Jurnal Ilmu Komputer dan Sistem Informasi (JIKOMSI)
Publisher : Utility Project Solution

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

Abstract

Perkembangan teknologi di dunia global termasuk Indonesia telah memasuki era revolusi industri 4.0 yang ditandai dengan semakin pesatnya perkembangan segala perkembangan baru tersebut yang ternyata telah menimbulkan gangguan di berbagai bidang kehidupan manusia, termasuk salah satunya yang cukup berdampak pada kehidupan manusia. dampak yang besar yaitu pada sektor pendidikan. Hal inilah yang mendorong SMA Negeri 9 Bimoku Ogan Komering Ilir memperbaiki sistem rekrutmen guru untuk meningkatkan kualitas sumber daya manusia guna memaksimalkan pembelajaran dengan menggunakan metode Weighted Product (WP) dengan kriteria penilaian dan pembobotan data kriteria tersebut dalam berupa pendidikan, pengalaman kerja, umur, tes tertulis, tes kesehatan, A1 mempunyai nilai vektor s sebesar 0,9099, sehingga nilai tersebut dibagi dengan jumlah nilai vektor s dari alternatif yang ada maka diperoleh nilai sebesar 0,1460, sehingga hasilnya sebesar 0,0836, diketahui alternatif C5 yaitu junaidi merupakan pilihan alternatif terbaik berdasarkan hasil perhitungan manual dan perangkingan akhir dari sistem pendukung keputusan rekrutmen guru.
Informasi Peringatan Dini Potensi Kekeringan Meteorologis Provinsi Nusa Tenggara Timur Bendi, Muhammad Indra; Kaesmetan, Yampi R
Jurnal Ilmu Komputer dan Sistem Informasi (JIKOMSI) Vol. 7 No. 1 (2024): Jurnal Ilmu Komputer dan Sistem Informasi
Publisher : Utility Project Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jikomsi.v7i1.2346

Abstract

Badan Meteorologi, Klimatologi dan Geofisika (BMKG) mempunyai tugas melaksanakan pemerintahan di bidang Meteorologi, Klimatologi, Kualitas Udara dan Geofisika sesuai dengan ketentuan perundang-undangan yang berlaku. Penelitian ini membahas sistem Informasi Peringatan Dini untuk mengidentifikasi potensi kekeringan meteorologis di provinsi Nusa Tenggara Timur. Penelitian fokus pada kekeringan yang disebakan oleh kurangnya curah hujan dan implementasinya dalam masyarakat. Metode analisis dan prakiraan spasial dan model prediktif digunakan untuk mengidentifikasi area yang berpotensi terhadap kekeringan meteorologis. Hasilnya menunjukkan efektivitas prakiraan potensi dalam memberikan peringatan dini, memungkinkan respons cepat untuk mitigasi dampak kekeringan meteorologis. Integrasi teknologi informasi dengan data meteorologis mendukung upaya adaptasi dan ketahanan terhadap bencana kekeringan. Studi ini memberikan kontribusi pada pemahaman dan pencegahan kekeringan melalui pemanfaatan teknologi informasi.
PREDIKSI HASIL PANEN PADI KABUPATEN & KOTA DI PROPINSI NUSA TENGGARA TIMUR DENGAN FUZZY INFERENCE SYSTEM (FIS) Kaesmetan, Yampi R.
HOAQ (High Education of Organization Archive Quality) : Jurnal Teknologi Informasi Vol. 10 No. 1 (2019): Jurnal HOAQ - Teknologi Informasi
Publisher : STIKOM Uyelindo Kupang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52972/hoaq.vol10no1.p42-48

Abstract

Rice (Oryza sativa) is a staple food source for the people of Indonesia. Most of the rice consumed is the result of national rice productivity. Often the government has difficulty in estimating the adequacy of basic food items that can be provided by domestic agriculture. Therefore a method is needed to predict rice yields accurately and precisely. The agricultural sector in East Nusa Tenggara is not a flagship of the community's economic activities. This is due to the geographical conditions of NTT which are less supportive for business activities in the agricultural sector. Even so, the prediction of agricultural products, especially rice yields, is needed to be predicted so that a forecast can be obtained in determining rice yields in 2017. Fuzzy logic method in this case Fuzzy Inference System (FIS) is widely applied for forecasting or prediction. Fuzzy logic has a slowness in predicting crop yields for the following year based on crop yields in the previous year and information taken from the fuzzy information provided. Fuzzyinformation can be made a rule or rule as a consideration in predicting yields. By using the formula of Mean Absolute Percentage Error (MAPE) or Average Absolute Error, from the Fuzzy Mamdani model The Fuzzy Inference System (FIS) with the Mamdani model that has been built can be used to estimate the amount of rice production in the City District in NTT with the truth value reaching 97.8%. To determine the amount of rice production in 2017, the data is processed by using the help of the Matlab 2012 fuzzy toolbox software using the centroid method for defuzzification.
PERBANDINGAN EKSTRAKSI TEKSTUR CITRA UNTUK PEMILIHAN BENIH KEDELAI DENGAN METODE STATISTIK ORDE I DAN STATISTIK ORDE II Kaesmetan, Yampi R.
HOAQ (High Education of Organization Archive Quality) : Jurnal Teknologi Informasi Vol. 10 No. 2 (2019): Jurnal HOAQ - Teknologi Informasi
Publisher : STIKOM Uyelindo Kupang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52972/hoaq.vol10no2.p92-102

Abstract

The problem in determining the selection of soybean seeds for replanting, especially in East Nusa Tenggara is still an important issue. The thing that affects the quality of soybean seeds is found broken seeds, dull seeds, dirty seeds, and broken seeds due to the process of drying and shelling. Determination of soy bean quality is usually done manually by visual observation. The manual system takes a long time and produces products with inconsistent quality due to visual limitations, fatigue, and different perceptions of each observer. This research was conducted using comparison of image texture extraction with statistical methods of order I (color moment) and order II statistics (GLCM) for soy bean selection. Order I statistics (color moment) show the probability of the appearance of the value of the gray degree of pixels in an image, while the order II statistics (GLCM) show the probability of a neighborhood relationship between two pixels that form a cohesion matrix from the image data. This research is expected to help the classification process in determining soybean seeds. The k-Nearest Neighbor (k-NN) algorithm used in previous studies to classify the image objects to be examined. The results of this study were successfully conducted using k-Nearest Neighbor (k-NN) with euclidean distance and k = 1 with the results of color moment extracts getting the highest accuracy of 88% and the results of GLCM feature extraction for homogeneity characteristics of 75.5%, correlations of 78.67% , contrast is 65.75% and energy is 63.83% with an average accuracy of 70.93%.
SISTEM PAKAR DIAGNOSA PENYAKIT IKAN GURAME DENGAN MENGGUNAKAN FIS MAMDANI Nesi, Maria Yunita; Kaesmetan, Yampi R; Meo, Meliana O.
HOAQ (High Education of Organization Archive Quality) : Jurnal Teknologi Informasi Vol. 11 No. 2 (2020): Jurnal HOAQ - Teknologi Informasi
Publisher : STIKOM Uyelindo Kupang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52972/hoaq.vol11no2.p73-80

Abstract

The carp (Osphronemus Goramy) including fish that was seeded in cultivation. In addition to the price of carp that are relatively more expensive than other fish and it has been easy to carp also has a higher value compared to other freshwater fish. But in the cultivation of carp diseases is one of the serious problems encountered by the fish farmers because it could potentially cause harm. Diseases that attack the carp both are still in the larval or adult forms of which are caused by parasitic infections in the form of fungi, protozoa, worms as well as bacterial infection of Aeromonas hydrophylla, Flexybacter colomnaris, and Mycobacterium sp. The multiplicity of types of disease that can attack the carp and the difficult process of detection because of the similarity of the symptoms caused fish farmers making it difficult to determine the methods of prevention and control of the right to address the disease. Detection of disease of carp is seen on the surface of the body of the fish. Therefore, it takes expert system to detect disease carp by involving technology. One of the methods used in the expert system of fuzzy inference system Mamdani. Fuzzy inference system Mamdani reasoning used in this study because of the handling of the value and accuisition of knowledge representation experts can directly representation in the form of rules, which can be understood when placed on the machine inference. The result of this reasoning is to detect diseases of the carp while delivering the right solution to tackle the disease of carp.
Sistem Pendukung Keputusan Pemilihan Sampah Tempat Sementara di Kota Kupang menggunakan Metode Topsis Fahik, Ferdinandus; Abubakar, Muhammad A.; Alfayet, Teofano E.D; Kaesmetan, Yampi R
Journal Innovations Computer Science Vol. 2 No. 2 (2023): November 2023
Publisher : Yayasan Kawanad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56347/jics.v2i2.145

Abstract

Temporary waste management in the city of Kupang is an urgent problem to ensure a clean and healthy environment. Selecting the right location for a temporary waste bin is an important step in efficient waste management. In this context, Decision Support Systems (DSS) can provide valuable assistance in the decision-making process. This research proposes a Decision Support System for Selection of Temporary Waste Bins using the TOPSIS Method. The TOPSIS method (Technique for Order of Preference by Similarity to Ideal Solution) is an effective method for overcoming multi-criteria decision-making problems. This system will integrate various factors such as distance to settlements, population density, accessibility, and other environmental factors to evaluate and select optimal temporary waste bins. This decision support system will provide stakeholders, including city governments, waste management authorities, and the community, with tools that can be used to make more informed decisions in determining the location of temporary waste bins. The results of the Decision Support System analysis will provide recommendations based on the level of preference for the specified criteria, enabling stakeholders to make more informed and sustainable decisions in city waste management. It is hoped that this research can help improve efficiency in temporary waste management in Kupang City and has the potential to become a model for other cities that face similar challenges in waste management.
Sistem Pendukung Keputusan Penerimaan Beasiswa di SMK 6 Kupang menggunakan Metode Analytical Hierarchy Process (AHP) Jamung, Maria Susanti; Leosae, Sepriono; Babis, Arjen Yohanes; Mone, Gerry; Kaesmetan, Yampi R
Journal Innovations Computer Science Vol. 3 No. 1 (2024): May 2024
Publisher : Yayasan Kawanad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56347/jics.v3i1.152

Abstract

Appreciation for students to excel by schools through school committees needs to be given to increase student motivation and enthusiasm for learning. The granting of a committee's money acquisition scholarship is expected to encourage students to continue to improve their achievements. Students receiving school committee scholarships are selected based on certain criteria set by SMK 6 Kupang. However, the selection process that is still manual faces obstacles such as long management and subjectivity in assessment. Therefore, a better alternative system is needed for the management of school committee scholarship recipients. The Analytical Hierarchy Process (AHP) method in the Decision Support System (SPK) can provide the best results so that students who really deserve a scholarship. The decision support system at SMK 6 Kupang determines the recipient of the School Committee scholarship based on criteria such as report cards, academic achievement, and non-academic achievements with the determined assessment weight. The calculation results show the final value based on the ranking, which is 0.3925 for ranking one, 0.2150 for rank two, and 0.1434 for third place. Based on the results of this ranking, a scholarship recipient has been selected in accordance with the established criteria.
SISTEM PENDUKUNG KEPUTUSAN UNTUK MENENTUKAN KUALITAS DEPOT AIR MINERAL ISI ULANG MENGGUNAKAN METODE TOPSIS (TECHNIQUE FOR ORDER PREFERENCE BY SIMILARITY TO IDEAL SOLUTION) Febianus Asa; Elisabeth Kolastriwan Romanda; Jekonia Nelchika Titing; Maria Claris Salzano Nurak; Pua geno, Muhamad Nazhif Zuhri; Yampi R. Kaesmetan
METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi Vol. 10 No. 1 (2024): Volume 10 Nomor 1
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/mtk.v10i1.2439

Abstract

The Decision Support System (DSS) for determining the quality of mineral water depots using the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method is an application designed to assist mineral water depot managers in selecting the best mineral water supplier based on certain criteria. The TOPSIS method is used to solve multi-criteria problems by considering the relative proximity to ideal solutions and anti-ideal solutions.First, relevant criteria for assessing the quality of mineral water are selected, including physical, chemical and microbiological parameters. Then, mineral water quality data from various suppliers is processed and normalized. Next, the normalized decision matrix is used to calculate the ideal solution and anti-ideal solution matrices. After that, a relative closeness score for each supplier is calculated based on the Euclidean distance to the ideal and anti-ideal solutions.The results of the TOPSIS analysis are used to provide recommendations for the best mineral water suppliers. By using this system, mineral water depot managers can optimize supplier selection based on predetermined quality criteria, thereby increasing customer satisfaction and maintaining the reputation of the mineral water depot in the market.
Optimisasi Stok Obat BPJS Pada Bulan April 2023 di Klinik Dompet Dhuafa Kupang Melalui Metode Topsis: Indonesia Komba, Clarisa; Bajuri, Miftahul K; Beda, Helena; Kaesmetan, Yampi R
Jurnal Sosial Teknologi Vol. 3 No. 12 (2023): Jurnal Sosial dan Teknologi
Publisher : CV. Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/jurnalsostech.v3i12.1108

Abstract

Kesehatan masyarakat menjadi aspek krusial dalam pembangunan suatu negara, dengan perhatian serius dari pemerintah dan lembaga kesehatan. Ketersediaan stok obat dan efisiensi keanggotaan BPJS Kesehatan menjadi elemen utama dalam menjamin pelayanan kesehatan yang optimal. Dalam konteks ini, implementasi Sistem Pendukung Keputusan (SPK) berbasis metode TOPSIS menjadi langkah strategis untuk meningkatkan efisiensi manajemen kesehatan. Penelitian ini difokuskan pada evaluasi dan perbaikan proses distribusi dan manajemen keanggotaan, dengan tujuan meningkatkan stok obat BPJS dan keanggotaan di Klinik Dompet Dhuafa Kupang. Pendekatan ini bertujuan memberikan pemahaman dasar tentang optimisasi stok obat dan keanggotaan BPJS, mengidentifikasi potensi masalah, dan menunjukkan kemajuan terbaru dalam bidang ini. Keberhasilan penelitian ini akan memberikan dampak positif pada kualitas layanan kesehatan di Klinik Dompet Dhuafa Kupang, memperkuat urgensi dan relevansi penelitian ini dalam konteks peningkatan pelayanan kesehatan masyarakat
Co-Authors Abraham Do Hina Abubakar, Muhammad A. Alfayet, Teofano E.D Andreas Curtis Hopper Fua Andrew Delfistian Dethan Anindya, Fazha Safha Atfandianus Ewal Azahra Imran, Fatimah Azis, Mayang Fitrylia Babis, Arjen Yohanes Bajuri, Miftahul K Bambali, Achmad Bahrudin Bastian Jumilton Lenggu Beda, Helena Bendi, Muhammad Indra Boboy, Vito Daniel Boling, Angel Agustina Delfince Toleu Desty A. Bekuliu Dinda Ayusma Tonael Djawas, Julaica F. Dominggus Mangngi Edwin Ariesto Umbu Malahina Elisabeth Kolastriwan Romanda Endang Oekolos Fahik, Ferdinandus Febianus Asa Frans, Harry Wolter Fransiskus Xaverius Moruk Fryonanda, Harfebi Fua, Andreas Curtis Hopper Fuzy Yustika Manik, Fuzy Yustika Ginting, Rudolf F.A. Handul, Yohanes Janssen Helena dorothea Mbura Henakin, Yohanes Bala Jamung, Maria Susanti Jekonia Nelchika Titing Jusrianto A Johannis Kamirsa, Yota Putra Katihara, Gustaf Karel Kehi, Balthasar Kembo, Emanuel Kristiano Kolihar, Reflon Paskah Komba, Clarisa La Beu, Dian Nurcahyani Ladopurab, Yohana Uba Lae, Archangela Cornelia Laoe, Desly sabatini Latuan, Franklyn Priscian Leosae, Sepriono Linus Evrianus Ama Kean Maria Claris Salzano Nurak Maria Yohana Gabriela Sasi Marlinda Vasty Overbeek Marlinda Vasty Overbeek Martin Ch. Liufeto Matulessy, Junus Yosia Eran Saktriawan Melania Zemil Meliana O Meo Mone, Bintang Vieshe Mone, Gerry Moruk, Fransiskus Xaverius Mutty, Nanda Gracenda Christina Nawa, Yesaya Laga Ndun, Alfrend Nelci Non Nesi, Maria Yunita Nimrot Doke Para Nindy Aulia Safirah Nono, Mariana Selvia Owa, Frederikus Mantolda Dede Penlaana, Vania Serafin Pua geno, Muhamad Nazhif Zuhri Putra Prawira Yohanes Puka Rafael, Simpati Gamalio Rasti Lani Rexion Alondeo Boimau Reynaldo Behar Rihi, Ivana Rosid, Achmat Saban, Aryandi Sanrina Natalia Evelin Tolan Saputri, Nur Azizah Indah Sayyid Ahmad Wisak selan, frederikus Selan, Frederikus Wanforsan Reynaldy Stefanus Taek, Adelvino Sten Dofanky Mooy Tahuk, Wilhelmina Johana Tefa, Sepri Vito Daniel Boboy Vito Daniel Boboy Vladimir Juino Jago Uko, Christianus Wilhelmina Johana Tahuk Wole, Jernianti Susanti Wulansari Masan Yafet Balan Yesaya Laga Nawa Yoman Berchmans Yota Putra Kamirsa Yunita Luruk Ulu Yustina Bete Dos Santos Yusuf Elpontus Tanaem