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All Journal TEKNIK INFORMATIKA Jurnal Simantec Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Informatika dan Teknik Elektro Terapan Jurnal Sains Dan Teknologi (SAINTEKBU) JMPM: Jurnal Matematika dan Pendidikan Matematika Informatics for Educators and Professional : Journal of Informatics Techno Nusa Mandiri : Journal of Computing and Information Technology Justek : Jurnal Sains Dan Teknologi METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Jurnal Saintek Lahan Kering Jurnal ULTIMATICS Jurnal Nasional Komputasi dan Teknologi Informasi Jurnal Tekno Kompak Jurnal Ilmiah Ilmu Komputer Fakultas Ilmu Komputer Universitas Al Asyariah Mandar JSAI (Journal Scientific and Applied Informatics) Jurnal Tata Kelola dan Kerangka Kerja Teknologi Informasi bit-Tech Zonasi: Jurnal Sistem Informasi Jurnal Teknologi Informasi : Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika JATI EMAS (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat) Range : Jurnal Pendidikan Matematika Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Restikom : Riset Teknik Informatika dan Komputer Yayasan Cita Cendikiawan Al Khwarizmi Media Jurnal Informatika Journal Of Information And Technology Unimor (JITU) Jurnal Sains Teknologi dan Sistem Informasi JURNAL REKAYASA INFORMASI SWADHARMA (JRIS) MATH-EDU: Jurnal Ilmu Pendidikan Matematika Jurnal Sisfotek Global Joutica : Journal of Informatic Unisla Jurnal Informatika Teknologi dan Sains (Jinteks) Digital Transformation Technology (Digitech) Jurnal Krisnadana Smart Techno (Smart Technology, Informatic and Technopreneurship) Adopsi Teknologi dan Sistem Informasi SisInfo : Jurnal Sistem Informasi dan Informatika Prosiding Seminar Riset Mahasiswa Journal of Informatics and Computing Jurnal Krisnadana Jurnal Penelitian Sistem Informasi Jurnal Rekayasa Sistem Informasi dan Teknologi Journal Of Artificial Intelligence And Software Engineering In Search (Informatic, Science, Entrepreneur, Applied Art, Research, Humanism) Jurnal Sains Sistem Informasi Journal of Elektronik Sistem InformasI Journal of Mathematics Theory and Applications Jejak digital: Jurnal Ilmiah Multidisiplin Jurnal Informasi Ilmu Komputer (JIIK)
Yoseph Pius Kurniawan Kelen
Universitas Timor
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Rancang Bangun Website E-commerce Penjualan Pakan Babi dan Obat Menggunakan Metode Waterfall (Studi Kasus: Toko Indomor Farm) Maria Nathania Bele Bau; Yoseph P.K Kelen; Siprianus Septian Manek
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 8, No 1 (2025): Februari 2025
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v8i1.8479

Abstract

Abstrak - Toko Indomor Farm, yang berlokasi di Kota Kefamenanu, Timor Tengah Utara, merupakan toko yang menjual berbagai produk pakan babi dan obat, seperti dedak halus, dedak plus, tepung ikan, nutrinak, dan obat hewan. Saat ini, sistem penjualan yang diterapkan masih dilakukan secara manual, di mana pelanggan harus datang langsung ke toko untuk melakukan transaksi. Proses ini tidak hanya membatasi jangkauan pasar, tetapi juga rawan menyebabkan ketidakakuratan dalam pencatatan data serta menurunkan efisiensi operasional. Kondisi ini mendorong perlunya inovasi dalam sistem penjualan yang lebih modern dan terkomputerisasi.Penelitian ini bertujuan untuk merancang sebuah website e-commerce menggunakan pendekatan metode Waterfall yang bertahap dan terstruktur. Sistem yang dirancang mencakup berbagai fitur, seperti katalog produk yang informatif, proses login dan registrasi pelanggan, formulir pemesanan, pemilihan layanan ekspedisi, serta sistem pembayaran yang memungkinkan pelanggan mengunggah bukti transfer. Semua data pesanan dan pembayaran dikelola secara terpusat dalam basis data yang aman. Admin memiliki peran penting dalam memverifikasi pembayaran, memproses pesanan, dan mengatur pengiriman barang kepada pelanggan melalui jasa ekspedisi seperti JT.Dengan penerapan sistem e-commerce ini, diharapkan Toko Indomor Farm mampu meningkatkan jangkauan pasarnya secara signifikan, terutama menjangkau pelanggan di luar wilayah Kefamenanu. Selain itu, sistem ini juga diharapkan dapat mengoptimalkan proses transaksi, mempermudah pengelolaan data, mengurangi risiko kesalahan pencatatan, serta mempercepat proses pengiriman barang. Pada akhirnya, solusi ini diharapkan dapat meningkatkan kepuasan pelanggan, memperluas pangsa pasar, dan mendorong pertumbuhan penjualan secara berkelanjutan.Kata kunci: E-commerce, Metode Waterfall, Pakan Babi dan Obat, Optimisasi Penjualan, Sistem Digital. Abstract - Indomor Farm Store, located in Kefamenanu City, North Central Timor, is a store that sells various pig feed and medicine products, such as fine bran, plus bran, fish meal, nutrinak, and animal medicine. Currently, the sales system implemented is still done manually, where customers must come directly to the store to make transactions. This process not only limits market reach, but is also prone to causing inaccuracies in data recording and reducing operational efficiency. This condition encourages the need for innovation in a more modern and computerized sales system. This study aims to design an e-commerce website using a gradual and structured Waterfall method approach. The designed system includes various features, such as an informative product catalog, customer login and registration process, order form, selection of expedition services, and a payment system that allows customers to upload proof of transfer. All order and payment data are managed centrally in a secure database. Admin has an important role in verifying payments, processing orders, and arranging delivery of goods to customers through expedition services such as JT. With the implementation of this e-commerce system, it is expected that Toko Indomor Farm will be able to increase its market reach significantly, especially reaching customers outside the Kefamenanu area. In addition, this system is also expected to optimize the transaction process, simplify data management, reduce the risk of recording errors, and speed up the delivery process. Ultimately, this solution is expected to increase customer satisfaction, expand market share, and drive sustainable sales growth.Keywords: E-commerce, Waterfall Method, Pig Feed and Medicine, Sales Optimization, Digital System.
Application of the Dempster-Shafer Method in Developing a Web-Based Expert System for Diagnosing Dental and Oral Diseases Kelen, Yoseph Pius Kurniawan
ULTIMATICS Vol 17 No 2 (2025): Ultimatics : Jurnal Teknik Informatika
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/ti.v17i2.4478

Abstract

Abstract— An expert system is a problem-solving system based on incorporating human expertise into computational models that emulate the analytical approach of experts. Expert systems make it easier for individuals to solve complex problems, even without direct consultation with domain experts. This study aims to develop an expert system that diagnoses dental and oral diseases using the Dempster-Shafer method, which calculates probable diagnoses based on the most prevalent symptoms experienced. The implementation utilizes a web-based framework with PHP and a MySQL database. The expected outcomes include efficient consultations and accurate diagnostic results, providing suitable treatments based on the Dempster-Shafer algorithm.. Index Terms— Expert System; Dempster-Shafer; Dental Disease; Oral Disease
SISTEM INFORMASI INDEKS KEPUASAN MASYARAKAT BERBASIS WEBSITE MENGGUNAKAN METODE WEIGHTED AVERAGE Kosat, Arsen; Kosat, Arnoldus Yanssen; Kelen, Yoseph Pius Kurniawan; Gelu , Leonard Peter
Jurnal Tata Kelola dan Kerangka Kerja Teknologi Informasi Vol. 11 No. 3 (2025): Desember 2025
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/jtk3ti.v11i3.19143

Abstract

Penelitian ini bertujuan untuk merancang dan mengimplementasikan sistem informasi Indeks Kepuasan Masyarakat (IKM) berbasis website pada Dinas Kependudukan dan Pencatatan Sipil Kabupaten Belu sebagai pendukung evaluasi pelayanan publik. Penelitian ini menggunakan pendekatan kuantitatif, sedangkan pengembangan sistem dilakukan dengan metode Waterfall. Data diperoleh melalui observasi, wawancara, dan penyebaran kuesioner kepada 128 responden. Nilai IKM dihitung menggunakan metode weighted average berdasarkan Peraturan Menteri PAN-RB Nomor 14 Tahun 2017. Hasil penelitian menunjukkan bahwa nilai IKM sebesar 85,83 dengan kategori mutu pelayanan Baik. Sistem yang dikembangkan mampu mengotomatisasi proses pengumpulan data, perhitungan IKM, dan penyajian laporan, sehingga meningkatkan efisiensi, akurasi, dan objektivitas dalam evaluasi pelayanan publik. Kata kunci: Indeks Kepuasan Masyarakat, sistem informasi berbasis web, weighted average, Waterfall.
IMPLEMENTASI METODE MULTI FACTOR EVOLUTION PROCESS DALAM MENDUKUNG PRIORITAS PENGGUNAAN DANA DESA Kapitan, Febiana F. T. Kapitan; kelen, Yoseph Pius Kurniawan; Manek, Patricia Gertrudis
Jurnal Informatika dan Teknik Elektro Terapan Vol. 14 No. 1 (2026)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v14i1.8157

Abstract

Abstrak. Penelitian ini dilakukan untuk membantu Pemerintah Desa Raiulun dalam menentukan prioritas penggunaan dana desa secara objektif dan efisien. Selama ini proses penentuan prioritas dilakukan secara manual melalui musyawarah, sehingga sering menimbulkan subjektivitas dan kurang tepat sasaran. Untuk mengatasi permasalahan tersebut, penelitian ini mengimplementasikan metode Multi Factor Evaluation Process (MFEP) sebagai dasar pengambilan keputusan. Penelitian menggunakan pendekatan kualitatif dengan pengumpulan data melalui observasi, wawancara, dan studi pustaka. Sistem yang dikembangkan berbentuk aplikasi desktop yang menilai beberapa alternatif kegiatan berdasarkan lima kriteria, yaitu manfaat bagi masyarakat, biaya pelaksanaan, waktu pelaksanaan, ketersediaan sumber daya lokal, dan keberlanjutan. Hasil perhitungan menunjukkan bahwa alternatif dengan nilai tertinggi dan menjadi prioritas utama adalah pembangunan bak air. Penerapan metode MFEP terbukti mampu membantu perangkat desa dalam menentukan prioritas penggunaan dana desa secara lebih cepat, objektif, dan transparan. Dengan demikian, sistem ini dapat menjadi solusi efektif untuk mendukung pengambilan keputusan berbasis data di tingkat desa.
IMPLEMENTASI MANAJEMEN BANDWITH JARINGAN MENGGUNAKAN METODE QUEUE TREE PADA SMA 1 KEFAMENANU Uky, Nini Trifena; Kelen, Yoseph Pius Kurniawan; Fallo, Kristoforus
Jurnal Informatika dan Teknik Elektro Terapan Vol. 14 No. 1 (2026)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v14i1.8300

Abstract

Abstrak. Teknologi jaringan komputer saat ini telah memasuki hampir keseluruhan segi kehidupan. Sangat sulit pada saat ini menemukan bidang kegiatan yang belum tersentuh oleh teknologi jaringan komputer. Hal ini dapat dilihat dari pengguna fasilitas jaringan komputer, baik untuk keperluan suatu instansi maupun untuk keperluan pribadi. Teknologi jaringan komputer telah menjadi salah satu hasil penting untuk diterapkan dalam era globalisasi dan komputerisasi. Jaringan komputer merupakan satuan komputer yang saling berhubungan satu sama lain dengan menggunakan protokol komunikasi yang melalui media kominukasi agar dapat saling berbagi informasi. Jaringan komputer sendiri bukanlah hal yang baru karena pada setiap instansi telah menggunakan dan memanfaatkan jaringan komputer. [1] Manajemen bandwith merupakan salah satu yang penting dalam jaringan komputer, dimana manajemen bandwith berfungsi sebagai pengatur jaringan bandwith yang setiap pengguna jaringan tersebut memperoleh bandwith yang merata walaupun dengan jumlah pengguna yang banyak. Manajemen bandwith juga merupakan ukuran, lebar dan luas saluran data yang melewati sebuah koneksi yang dikirim melakui jaringan internet. Manajemen bandwith adalah suatu proses pengontrol paket yang dikirim melalui jaringan agar paket yang dikirim tidak terjadi kegagalan diakibatkan koneksi jaringan yang buruk atau kemacetan dalam jaringan. Untuk mengatur manajemen bandwith dibutuhkan metode yang tepat agar permasalahan bisa teratasi sehingga akses jaringan menjadi optimal Abstract Computer network technology has now entered almost every aspect of life. It is very difficult today to find a field of activity that has not been touched by computer network technology. This can be seen from the use of computer network facilities, both for institutional purposes and personal needs. Computer network technology has become one of the important outcomes to be applied in the era of globalization and computerization.A computer network is a unit of computers interconnected with one another using communication protocols through communication media so that they can share information. Computer networks themselves are not something new, since every institution has already used and benefited from them (Heryanto, 2019).Bandwidth management is one of the important aspects in computer networks, where bandwidth management functions as a regulator to ensure that every network user receives fair bandwidth distribution even with a large number of users. Bandwidth management is also defined as the measurement, width, and capacity of the data channel passing through a connection that is transmitted over the internet network.Bandwidth management is a process of controlling packets transmitted through the network so that packet delivery does not fail due to poor connections or network congestion.
Penerapan Metode Naive Bayes dalam Pemilihan Lokasi Pemasangan Optical Distribution Point (ODP) Indihome Berbasis Webgis Neakleu, Febronius; Kelen, Yoseph Pius Kurniawan; Bobu, Fetronela Rambu
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 8, No 6 (2025): Desember 2025
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v8i6.10029

Abstract

Abstrak - Pemilihan lokasi pemasangan Optical Distribution Point (ODP) merupakan faktor penting dalam pengembangan jaringan fiber optik, karena berpengaruh terhadap efisiensi biaya dan jangkauan layanan. Proses pemilihan lokasi selama ini masih dilakukan secara manual, sehingga berpotensi menimbulkan ketidakefisienan dalam perencanaan jaringan. Penelitian ini bertujuan untuk membangun sistem pendukung keputusan berbasis WebGIS yang menerapkan metode Naive Bayes dalam menentukan kelayakan lokasi pemasangan ODP IndiHome. Metode Naive Bayes digunakan untuk melakukan klasifikasi berdasarkan beberapa kriteria, antara lain jumlah penduduk, potensi pelanggan, status perizinan, aksesibilitas, infrastruktur pendukung, topografi, dan keamanan wilayah. Sistem dikembangkan menggunakan model pengembangan perangkat lunak Waterfall dengan implementasi teknologi PHP, MySQL, dan LeafletJS untuk visualisasi peta. Hasil pengujian menunjukkan bahwa metode Naïve Bayes mampu mengklasifikasikan data dengan akurasi sebesar 100% pada 19 data uji, di mana 13 lokasi dikategorikan “Layak” dan 6 lokasi “Tidak Layak”. Integrasi hasil klasifikasi dengan WebGIS memungkinkan pengguna untuk memantau dan menganalisis sebaran lokasi ODP secara interaktif melalui peta digital. Dengan demikian, sistem ini dapat membantu pihak perusahaan telekomunikasi dalam menentukan lokasi ODP yang optimal, efisien, dan berbasis spasial.Kata kunci : Optical Distribution Point; Naive Bayes; Sistem Pendukung Keputusan; WebGIS; Waterfall; Abstract - The selection of Optical Distribution Point (ODP) installation locations is a crucial factor in the development of fiber optic networks, as it directly affects cost efficiency and service coverage. The current selection process is still performed manually, which can lead to inefficiencies in network planning. This study aims to develop a WebGIS-based decision support system that applies the Naive Bayes method to determine the feasibility of ODP installation locations for IndiHome. The Naive Bayes algorithm is utilized to classify data based on several criteria, including population density, customer potential, licensing status, accessibility, supporting infrastructure, topography, and area security. The system was developed using the Waterfall model, implemented with PHP, MySQL, and LeafletJS for map visualization. The testing results show that the Naïve Bayes method achieved an accuracy of 100% on 19 test data points, classifying 13 locations as “Feasible” and 6 as “Not Feasible.” The integration of classification results with WebGIS allows users to monitor and analyze ODP locations interactively through a digital map. Therefore, the system effectively assists telecommunication companies in determining optimal, efficient, and spatially based ODP installation locations.Keywords: Optical Distribution Point; Naive Bayes; Decision Support System; WebGIS; Waterfall;
Decision support system for superior livestock commodities in North Central Timor using Fuzzy Topsis method Taek, Sisilia Novita Aryenny; Kelen, Yoseph Pius Kurniawan; Tey seran, Krisantus Junarto
Jurnal Simantec Vol 14, No 1 (2025): Jurnal Simantec Desember 2025
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/simantec.v14i1.30059

Abstract

The livestock sector plays a crucial role in supporting regional economic development, including in North Central Timor (TTU) Regency, East Nusa Tenggara. Currently, the selection of superior livestock commodities in this area is still carried out manually, which results in slow, inefficient, and error-prone decision-making processes. Therefore, a system is needed to assist in making decisions more accurately and objectively. This study aims to develop a web-based Decision Support System (DSS) to analyze and determine superior livestock commodities in TTU Regency using the Fuzzy Technique for Order Preference by Similarity to Ideal Solution (Fuzzy TOPSIS) method. The system was developed using the Waterfall model and implemented with PHP and MySQL. The decision criteria include productivity, market potential, production cost, environmental sustainability, and infrastructure support. The livestock alternatives considered in the analysis are cattle, goats, pigs, chickens, sheep, and horses. The implementation results show that beef cattle achieved the highest preference score of 0.76, making it the most superior livestock commodity in the region. This system provides easy access to accurate and real-time data for users and facilitates more effective and efficient decision-making. It also minimizes human error and speeds up the analysis process. With this system, stakeholders and livestock-related agencies can make better-informed decisions, improve resource management, and support sustainable development in the local livestock sector.Keywords: Decision Support System, Leading Commodities, Livestock, Fuzzy TOPSIS
Decision support system for selecting the best pesticide to eradicate pests on bean plants applying the Multi Attribute Utility Theory (MAUT) Approach Ili Sama, Meliana; Kelen, Yoseph Pius Kurniawan; Gelu, Leonard Peter; S. Manek, Siprianus
Jurnal Simantec Vol 14, No 1 (2025): Jurnal Simantec Desember 2025
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/simantec.v14i1.29954

Abstract

The selection of the right pesticide is very important in pest control efforts on bean plants to maximize yields and maintain crop quality. Often, farmers face a mismatch between expectations and reality related to the products they use. The market offers a wide range of pesticide products, each claiming to have certain advantages. Mismatches in pesticide selection can affect the yields obtained by farmers. This study aims to provide insight to farmers in choosing the best pesticide to control pests on bean plants. this study relies based on the Multi Attribute Utility Theory (MAUT) method as a means to weigh various options based on various aspects in a structured manner. to assess each criterion from various alternatives and provide a ranking of the best pesticide recommendations. The criteria considered include price, how it works, shelf life, number of pests, and its impact on bean plants. The application developed uses the PHP and MySQL programming languages. Based on the results of the study, the alternative pesticide Spinosad obtained the highest score of 0.85, making it the best recommendation.Keywords: Pesticide selection, Decision Support System (DSS), MAUT
Expert system diagnoses skin diseases using web-based Forward Chaining method Taena, Ignasia Wanty; kelen, Yoseph pius kurniawan; Ludji, Dian Grace
Jurnal Simantec Vol 14, No 1 (2025): Jurnal Simantec Desember 2025
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/simantec.v14i1.29955

Abstract

The skin is an essential part of the human body that plays a role in protection, temperature regulation, and sensation. Maintaining skin health is crucial because skin infections can arise from bacteria, viruses, fungi, and parasites, and often spread through direct contact. Environmental factors, such as the availability of clean water, are among the main causes of skin diseases. Unfortunately, many people consider skin diseases to be trivial, whereas if left untreated, these conditions can become fatal. A lack of understanding and information often leads to delayed treatment.To address this issue, an expert system has been developed to enable early diagnosis of skin diseases. This system uses the forward chaining method, an approach that starts from initial facts and moves toward a conclusion through a structured series of questions. One of the advantages of this method is its ability to process limited data into useful and accurate information. The expert system is designed as a web-based application to ensure broader public access.The diseases that can be diagnosed include ringworm, tinea versicolor, scabies, chickenpox, boils, dermatitis, rhinitis, and urticaria. This system is expected to help the public in recognizing symptoms of skin diseases and provide early support before consulting a doctor. Based on previous research, the lack of disease and symptom data was a challenge. Therefore, this study added 15 types of skin diseases and 20 symptom data points.For future development or further research, it is recommended to expand the system with more types of diseases, different diagnostic methods, and additional features to improve accuracy and user-friendliness in diagnosing skin diseases. Test data from 30 users showed a 90% accuracy rate, indicating that the expert system successfully helps users and provides solutions.Keywords: Expert System, Forward Chaining, Skin Disease, Early Diagnosis dini, Web
Sistem pendukung keputusan pemilihan tanaman pangan berbasis web dengan Fuzzy Weighted Product Naisali, Aldegunda; Kelen, Yoseph Pius Kurniawan; Syarifuddin, Risald; Grace Ludji, Dian
Jurnal Simantec Vol 14, No 1 (2025): Jurnal Simantec Desember 2025
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/simantec.v14i1.29958

Abstract

The selection of food crops in North Central Timor Regency is based on individual experience and unstructured and unsystematic information. This process is subjective, depending on the experience or habits of farmers without the support of objective data analysis. This makes decision-making in determining the type of food crop less precise, and can hinder agricultural productivity. This study aims to build a web-based decision support system (DSS) that helps select the most appropriate food crops based on various criteria and alternatives. The system is developed using the Fuzzy Multi Attribute Decision Making (FMADM) and Weighted Product (WP) methods that handle uncertainty in evaluation and weighting. Fuzzy is used to accommodate linguistic qualitative data such as “sufficient”, “good”, or “very good”, reflecting real conditions in the field. Meanwhile, the Weighted Product method calculates the final score of each crop alternative based on the attribute value and weight of each criterion. The criteria in this system include planting area, harvested area, productivity, production, soil type, and market demand. This study aims to develop a web-based decision support system that provides recommendations for selecting the best food crops. This system is designed with an easy-to-use interface, and can be accessed online by farmers, extension workers, and policy makers. In this system, a fuzzy and weighted product approach is used to manage uncertainty in the assessment and produce objective crop rankings. The implementation results show that lowland rice plants get the highest score, which is 0.232977225 compared to other alternatives. This value indicates the highest level of feasibility of all the alternative crops analyzed, so lowland rice is the most recommended choice. This system is able to provide fast, data-based recommendations.Keywords: Fuzzy, Decision Support System, Food Crops, Weighted product, Web
Co-Authors Abi, Maria Oktavian ALBERTIANA FANU Alberto Fransisko M.L. Nahas Alfonsus Jefri Oematan Amaral, Krispina Madeira Amaral Amsikan, Dionisius K. Anastasia K. D Lestari Anastasia K.D. Lestari Anastasia Kadek Dety Lestari Anastasia Kadek Dety Lestari Anatasia Kadek Dety Lestari Ansedelita Bete Antonius Lake Anunut, Anna Asthy, Agustina Tamo Ina Bili Avin Nahak Bana, Yoseph Arianto Bano, Elinora N. Barreto, Julio Baso, Budiman Bere, Mery Ernawati Bernadeta Novia W. R. Mau Bone, Leonardus Bria, Laurensa L Chrisinta, Debora Claudensi Maria Muinnesu Cristin Tidja Y. Bas Darsono Nababan Deda, Yohanis Ndapa Dewi Kristiani Asuat Dian Grace Ludji Dionisius K. Amsikan Dionisius Oktavianus Klau Efren Primus Nahak Egas De Jesus Martins Corbafo Eko, Margaretha Amilia Miranti Eli , Maria Yuliana Elisabeth Glodia Isulti Usfinit Elsa M. Benolon Emanuel Yohanes Meol Eugenius Charles Odja Fabiana Kaunan Fallo, Kristoforus Fallo, Kritoforus Faustianus Luan Fetronela Rambu Bobu Firma Maria O Luan Florensia Seran Florida Telik Fouk, Fransiska Seuk Fransiskus Xaverio Tonbesi Gelu , Leonard Peter Gelu, Leonard Peter Gelu, Leonard Peter Gervaisus Kono Godeliva Dos Santos Pakaenoni Godifridus Metboki Grace Ludji, Dian Haryati Herewila, Nadia Esli Hevi Herlina Ullu Ili Sama, Meliana Isto, Kristoforus Boik Tani'i Jekrit Rinto Tefi Jeli, Jeli Maria Fatima Kolo Jeri Aurelianus Sede Kabut, Stefanus Kapitan, Febiana F. T. Kapitan Kehik, Maria Cristalina M.D. Knaofmone, Maria Letitia Kolne, Maria Adventina Kolo, Klaudia Selina Kolo, Yesualda Rogeria Kosat, Arnoldus Yanssen Kosat, Arsen Kresensia Nesi Krisantus J.Tey Seran Krispina Anin Kristoforus Fallo Lake, Delviana Lay Berek, Gloria Elisabeth Lay, Febryona Leonard P Gellu Leonard P. Gelu Leonard P. Gelu Leonard Peter Gellu Leonard Piter Gelu Lestari, Anastasia K D Lestari, Anastasia K.D Lestari, Anastasia K.D. Lestari, Anastasia Kadek Dety Lidia Lestari Kitu Manu Lidwina Sriwidya Lafu Liu, Yovita Liunokas, Ebenhaiser Lopo, Ani Luan, Faustianus Lusi Asameta Lusianus Bala Mada, Grandianus Seda Mammi Sarlota Bana Manek, Patricia Gedrudis Manek, Patricia Gertrudis Manek, Siprianus Manek, Siprianus S. Maneno, Regolinda Manhitu, Emerensiana Okan Margaretha Baria Maria Agusta Nining Fallo Maria Erlina Naben Maria Grasela Tatuin Maria Grestiana Sani Maria Ilona Silab Maria Imaculata Anu Turu Maria Krisanti Toinjaas Maria Lina Keban Maria Marli Natonis Maria Millenia Pina Lewuk Maria Nathania Bele Bau Maria Sisilia Luruk Nahak Maria Yuliana Eli Marina Dianti Kening Salu Marjeni Liana Nino Marni Coriani Bria Mau, Lidia Marselina Mayela Wete Melkianus Y.M. Ufa Mirja Hoar Moensaku, Emanuel Nababan, Darsono Nahak, Gilvino Nahak, Maria Selviyanti H Nahak, Roswita R.K. Naihely, Stefanus Apriyanto Naisali, Aldegunda Natalia Karmila Ketmoen Neakleu, Febronius Nenat, Agustinus Ardiyanto Nesi, Kresensia nggadas, carles Nikolas Abi Ninfa Neno Nule, Maria Graciana Yosri Nurliah Apryanti Oktavia Prima Bili Oktovianus Mamoh Oktovianus R. Sikas Omenu, Maria S.S Omenu, Yustina Maria Balok Painneon, Angela Hendrika Paskalis Mau Seran Patricia Gertrudis M anek Patricia Gertrudis Manek Pricilia D A Centhya Nahak Prima Mersi Angela Klaran Priska Maria Cicilia Amleni Reinhard Midian Duri Renaldi Y. Kolloh Risald Rizald Rojari, Fatima Romal Frengki Prima Manafe Roni Dedi Selan Rudy Chandra S Manek, Siprianus S. Manek, Siprianus S.Manek, Siprianus Selestina Nahak Seprianus Septian Manek Septian Manek, Siprianus Seran, Bruno Fransiskus seran, yuvenalis severinus ponis Sikas, Oktovianus R. Siprianus S Manek Siprianus S Manek Siprianus S. Manek Siprianus S. Manek Siprianus S.Manek Siprianus Septian Manek Stefania Y. Nule Stefanus Lau Manek Stefanus Manek Suni, Vebrianus Suni, Yohanes George Deridwan Susu, Yublina Rambuhana Sutal, Dominika Muti SYAHYADI, ASEP INDRA Syarifuddin, Risald Tae, Margaretha Taek, Sisilia Novita Aryenny Taena, Ignasia Wanty Tahun, Ardy Imanuel Taitoh, Rosalinda Hoar Tey Seran, Krisantus Jumarto Tey seran, Krisantus Junarto Thomas Nelson Kolo Uky, Nini Trifena Ullu, Hevi Herlina Usfinit, Katarina D.M Usnaat, Sonya Oktavia Valerianus Naat Victoria Nova Naiheli Wilfrida Tnomel Willy Sucipto Willy Sucipto Willy Sucipto Yasinta O.L Rema Yasintha O.L Rema Yayu Ulfaningsi Subagio Yeni M Kabnani Yeni Yovita Seuk Yeremia, Elfira Yesualda Rogeria Kolo Yohana Niis Molo Yohanes D B Pay Yohanes D. B Pay Yudit Oviana Berek Yuliana A.T Naitkakin Yulsiani Sanam